//var cadenaBuscada;
var pages = new Array("../content/00ExecSum.htm","../content/01Int.htm", "../content/02CitPar.htm","../content/03InsStr.htm","../content/04CitPro.htm","../content/05NDZ.htm","../content/06GenHou.htm","../content/07HouMar.htm","../content/08SpeNee.htm","../content/09HomNee.htm","../content/10PubHou.htm","../content/11LeaPai.htm","../content/12HouStr.htm","../content/13ComDev.htm","../content/14AntPov.htm","../content/15NonHou.htm","../content/16Mon.htm");   //Array of the ordered html pages;

var pages_title = new Array("Executive Summary","I. Introduction", "II. Citizen Participation","III. Institutional Structure & Coordination","IV. City of Miami Profile","V. Neighborhood Development Zones and Model Blocks","VI. General Housing Needs Assessment","VII. Housing Market Study","VIII. Special Needs Housing Assessment","IX. Homeless Needs Assessment","X. Public Housing Needs Assessment","XI. Lead-Paint Hazards","XII. Housing Strategy","XIII. Community Development Assessment","XIV. Anti-Poverty Strategy","XV. Non-Housing Strategy","XVI. Monitoring");

var highlitedWords = "";

/*Is the position in the htmlText inside a Tag? 
returns true or false*/	
function inTag(htmlText, pos){                        
    var tanca = htmlText.indexOf(">",pos);
    var abre =  htmlText.indexOf("<",pos);
    if (abre==-1) return true;
    return tanca<abre;
}

/*Is the character alphanumeric ? */
function isAlphaNumeric(character){
	var c = character.charCodeAt(0);
		if ( c!=231 && (c<48 || c>122 || (c>57 && c<65) || (c>90 && c<97)))
			return false;
		return true;
}

/*highlights the word "palabra" in the html-text "texto" with color-code "num"
Returns the highlighted text*/
function highlight_palabra(texto, palabra,num){
	var texto_l = texto.toLowerCase();
	var pos = texto_l.indexOf(palabra.toLowerCase());
	if (pos==-1) return texto;
	var numAux = num%12;
	var high_i = "<span class='highlight"+numAux+"'>";
	var high_f = "</span>";
	var pos_i = 0;
	var len = palabra.length;
	highlitedWords = highlitedWords + high_i+" "+palabra+" "+high_f+" ";
	var texto_fin = "";		
	palabra = palabra.toLowerCase(); 
	while(pos>-1 && pos<texto.length){ 
		if (!inTag(texto,pos) && (pos==0 || !isAlphaNumeric(texto.charAt(pos-1)))){
			texto_fin = texto_fin + texto.substring(pos_i,pos) +high_i+ texto.substring(pos,pos+len)+ high_f;
			pos_i = pos+len;
		}else{ 
			texto_fin = texto_fin + texto.substring(pos_i,pos+len);
			pos_i = pos+len;
		}
		pos = texto_l.indexOf(palabra,pos_i);
		}
	if (pos_i>-1 && pos_i<texto.length)
		texto_fin = texto_fin + texto.substring(pos_i,texto.length);
	return(texto_fin);
}


 /*highlight all the words in the Array "palabras" in the html-text "texto"*/
function highlight(texto, palabras,num){
	var i;
	for (i=0; i<num; i++){
		texto = highlight_palabra(texto,palabras[i],i); 
	} 
	var pos1 = texto.indexOf("770")
	pos1 = texto.indexOf(">",pos1)+1;
	var cell = '<tr><td align="right" valign="top" height="21" bgcolor="#F7F7F7"><span class="high"> <font color="#999999"> Words found:</font>&nbsp;&nbsp; '+highlitedWords + "</span> &nbsp;<font color='#999999'> | </font> &nbsp; <a href ='"+pages[top.frames[0].selectedLink]+"' target='_self'> Remove highlights</a>&nbsp;&nbsp;&nbsp; <br>"+'</td></tr>';
	texto= texto.substring(0,pos1)+cell + texto.substring(pos1+1,texto.length);
	return texto;
}

/*Returns an Array of the pages that contain the word in "codeWord"
codeWord has the form of "word,1,4,3,2".  This functions would return the array {1,4,3,2}*/
function getPagesNum(condeWord){
	var pos = condeWord.indexOf(",");
	var posFin = condeWord.indexOf(",",pos+1);
	var numbers = new Array;
	var len = 0;
	while (pos>-1 ){
		if (posFin==-1)
			numbers[len] = eval(condeWord.substring(pos+1,condeWord.length));
		else
			numbers[len] = eval(condeWord.substring(pos+1,posFin));
		pos = posFin;
		posFin = condeWord.indexOf(",",pos+1);
		len++;
	}
	return numbers;
}


/*This function returns the length of the above returned Array*/
function getPagesNumLen(condeWord){
	var pos = condeWord.indexOf(",");
	var posFin = condeWord.indexOf(",",pos+1);
	//var numbers = new Array;
	var len = 0;
	while (pos>-1 ){
		pos = posFin;
		posFin = condeWord.indexOf(",",pos+1);
		len++;
	}
	return len;
}

/*This function return the formated result of the search given the orderd pages entry
e.g ",3,50,4,23,5,3,7,2"  (page 3, with score 50, page 4, with score 23 et cetera)*/
function getLinks(found, palabras, len_p){
	var pos = found.indexOf(",");
	var posFin = found.indexOf(",",pos+1);
	var numbers = new Array;
	var len = 0;
	var i;
	while (pos>-1 ){
		if (posFin==-1)
			numbers[len] = eval(found.substring(pos+1,found.length));
		else
			numbers[len] = eval(found.substring(pos+1,posFin));
		pos = posFin;
		posFin = found.indexOf(",",pos+1);
		len++;
	}
	var links = "";
	for(i=0; i<len; i=i+2) 
		links = links + getLinkText(numbers[i],palabras,len_p);
		
	if (len==0){
		if (len_p<1)
			return "<p style='text-indent:0'>No words to search.</p>";
		links = palabras[0];	
		for (i =1; i<len_p; i++)
			links = links + ", " +palabras[i];
		links = "<p style='text-indent:0'>The words: <i><b>" + links + "</b></i> where not found.</p>"
	}	
	return links;
}

/*Returns the link for each page, see above function*/
function getLinkText(i,vect,num){
	var cad = "<span style='color: #364746; font-size: 18px; font-family: "+'"Times New Roman, Times"'+", serif;'>Chapter: <span><a href ='highlight"+i+".htm' onmouseover='top.frames[0].selectedLink = "+i+";' target='_self'> "+pages_title[i]+" </a><p style='text-indent:0px; margin:8px'>"+getSmallTextWith(i,vect,num)+"</p><br>";
	return cad;
}

/*Get the word from the codeWord ("hello,1,11,4,7,6,2" -> "hello")*/
function getWord(palabra){
	var pos = palabra.indexOf(",");
	return palabra.substring(0,pos);
}



/*Given the searched word it returs the codedWord (in which pages the word "palabra" appears)
("hello" -> "hello,1,11,4,7,6,2")*/
 function getWordCode(palabra){  
 	palabra = palabra.toLowerCase();
 	var letra = palabra.substring(0,1);
	var vect = getVector(letra);
	for (i=0; i<vect.length; i++){
		if((vect[i]).indexOf(palabra,0) == 0)
			return vect[i];
	}
	return "";
 }

 /*Seraches by separated words in the vector (getVector;)*/ 
 function Search(){
	if(top.frames[0].document.forms[0].radioP.checked)
		return SearchAll();
	var palabras = new Array();
	palabras = getSeparatedWords();
	var len = getSeparatedWordsLen();	
	var codeWords = new Array();
	var len2 =0;
	var aux;
	var found = false;
	var i;
	for( i=0; i<len; i++){
		aux = getWordCode(palabras[i]);
		if(aux != ""){ 
			codeWords[len2]  = aux;
			len2++;
		}	
	}
	if (len2<1) return getLinks("",palabras,len);
	var pageOrder = codeWords[0];
	for (i=len2-1; i>0; i--){
		pageOrder = orderWordPages(pageOrder,codeWords[i])
	}
	top.frames[0].userWords = palabras;
	top.frames[0].userWordsLen = len;
	
	return getLinks(pageOrder,palabras,len);
 }
 
 /*Seraches entire entence ("real time" search)*/
function SearchAll(){
	var i;
	var words = getOneWord(); 
	var pageValues = new Array();
	if(words[0].length <1)
		return "<p style='text-indent:0'>No words to search.</p>";
	for (i=0; i<17; i++)
		pageValues[i] = getValueOfWords(words,1,i);
	top.frames[0].userWords = words;
	top.frames[0].userWordsLen = 1;
	return getLinksBeta(ordenaVect(pageValues,17),ordenaVectLen(pageValues,17),words,1);
}
 
 /* Returns an array with the words to search submited by the user*/
 function getSeparatedWords(){
 	cadena =  top.frames[0].MM_findObj("texto").value;
	cadena = thing_trim(cadena,"'s");
	cadena = thing_trim(cadena,"'ll");
	cadena = thing_trim(cadena,"'t");
	cadena = word_trim(cadena,"a");
	cadena = word_trim(cadena,"are");
	cadena = word_trim(cadena,"an");
	cadena = word_trim(cadena,"and");
	cadena = word_trim(cadena,"at");
	cadena = word_trim(cadena,"of");
	cadena = word_trim(cadena,"or");
	cadena = word_trim(cadena,"the");
	cadena = word_trim(cadena,"that");
	cadena = word_trim(cadena,"in");
	cadena = word_trim(cadena,"is");
 	cadena = trim(cadena);
	cadena = swapW(cadena,String.fromCharCode(231),"&ccedil;");
	if (cadena.length <1) return "";
	var palabras = new Array();
	var len =0;
	var pos = cadena.indexOf(" ");
	var posInit = 0;
	while (pos>-1){
		palabras[len] = cadena.substring(posInit,pos);
		len++;
		posInit = pos+1;
		var pos = cadena.indexOf(" ",posInit);
	}
	palabras[len] = cadena.substring(posInit,cadena.length);
	len++;
	return palabras;
 }

function getOneWord(){
	var word = top.frames[0].MM_findObj("texto").value;
	word = spaceTrim(word);
	word = swapW(word,String.fromCharCode(231),"&ccedil;");
	word = swapW(word,String.fromCharCode(62),"&gt;");
	word = swapW(word,String.fromCharCode(60),"&lt;");
	word = swapW(word,String.fromCharCode(34),"&quot;");	
	var words = new Array(word);
	return words;
}
 
 /* Returns the length of the array returned by getSeparatedWords()*/
function getSeparatedWordsLen(){
	cadena =  top.frames[0].MM_findObj("texto").value;
	cadena = thing_trim(cadena,"'s");
	cadena = thing_trim(cadena,"'ll");
	cadena = thing_trim(cadena,"'t");
	cadena = word_trim(cadena,"a");
	cadena = word_trim(cadena,"are");
	cadena = word_trim(cadena,"an");
	cadena = word_trim(cadena,"and");
	cadena = word_trim(cadena,"at");
	cadena = word_trim(cadena,"of");
	cadena = word_trim(cadena,"or");
	cadena = word_trim(cadena,"the");
	cadena = word_trim(cadena,"that");
	cadena = word_trim(cadena,"in");
	cadena = word_trim(cadena,"is");
	cadena = swapW(cadena,String.fromCharCode(231),"c");
 	cadena = trim(cadena);
	if (cadena.length <1) return 0;
	var palabras = new Array();
	var len =0;
	var pos = cadena.indexOf(" ");
	var posInit = 0;
	while (pos>-1){
		len++;
		posInit = pos+1;
		var pos = cadena.indexOf(" ",posInit);
	}
	len++;
	return len;

} 

/* returns the string "cadena" with only alphanumeric characters*/
 function trim(cadena){
 	var pos = 0;	
	while(pos<cadena.length){
		if (!isAlphaNumeric(cadena.charAt(pos)))
			if(pos==0 || pos ==cadena.length-1 || (cadena.charAt(pos-1) == " " || cadena.charAt(pos+1) == " ")){
				cadena = cadena.substring(0,pos)+cadena.substring(pos+1,cadena.length);
				pos--;
			}else{
				cadena = cadena.substring(0,pos)+" "+cadena.substring(pos+1,cadena.length);
			}
		pos++;
	}		
	return cadena;
 }
 
 
 /*Given two codes ("1,34,3,20,2,11" and "4,27,2,19,6,2") it merge them preserving order
                -> "(1,34,2,30,4,27,3,20,6,2)" , "2,(11+19)"*/
 function orderWordPages(cad1,cad2){
 	var num1 = getPagesNum(cad1);
	var num1_l = getPagesNumLen(cad1);
	var num2 = getPagesNum(cad2);
	var numl_2 = getPagesNumLen(cad2);
	var combo = new Array();
	var i,j;
	var index = 0;
	var found = false;
	for (i=0; i<num1_l; i=i+2){
		found = false;
		for (j=0; j<numl_2; j = j+2){
			if (num1[i] == num2[j]){
				combo[index] = num1[i];
				combo[index+1] = num1[i+1]+num2[j+1];
				index = index +2;
				num2[j] = -1;
				num2[j+1] = -1;
				j = numl_2;
				found = true;				
			}
		}
		if(!found){
			combo[index] = num1[i];
			combo[index+1] = num1[i+1];
			index = index+2;
		}
	}
	for (j=0; j<numl_2; j = j+2){
		if (num2[j]>0){
			combo[index] = num2[j];
			combo[index+1] = num2[j+1];
			index = index+2;
		}
	}
	combo = ordenaVect_2(combo, index);
	var ret = "";
	for (i = 0; i<index; i++)
		ret = ret+","+combo[i];	
	return ret;
}



/*This function return the ordered vector of codes, considering the sume of the tag evaluation of each element
  "(4,32,5,21,2,9) -sum-> 32+21+9=62"  "(12,21,4,20,3,17,8,8,1,2,2,1) -sum-> 21+20+17+8+2+1 = 69"
   (12,21,4,20,3,17,8,8,1,2,2,1) , (4,32,5,21,2,9) ,  ...*/
function ordenaVect_2(vector, len){
	var i,j;
	var pageOrder = new Array(len);
	var max_i = 0;
	var index = 0;
	var vect  = new Array();
	for (i =0; i<len; i++){
		vect[i] = vector[i];	
	}
	while(true){
		for (i=0; i<len; i = i+2)
			if(vect[i+1]>vect[max_i+1])
				max_i = i
		if (vect[max_i+1]<0)
			return pageOrder;
						
		pageOrder[index] = vect[max_i];
		pageOrder[index+1] = vect[max_i+1];
		index = index+2;
		vect[max_i] = -1;
		vect[max_i+1] = -1;				
	}
 }
 

 /*get a short text where the words in (some) palabras appear*/
 function getSmallTextWith(numPage, palabras,num){
	var size = 250;
	var text = getSimpleText(numPage);
	var i=1;
	var palabra = palabras[0].toLowerCase();
	var text_l = text.toLowerCase();
	var pos1 = getPosWordAbsolut_st(text_l,palabra);
	var puntos,puntosFin;
	if (pos1<0)
		pos1 = getPosWord_st(text_l,palabra);
	while (pos1<0 ){
		if (i>=num) 
			return "<p><i>No matches</i></p>";
		palabra = palabras[i].toLowerCase();
		pos1 = getPosWordAbsolut_st(text_l,palabra);
		if (pos1<0)
			pos1 = getPosWord_st(text_l,palabra);
		i++;
	}
	var init = pos1-40>0 ? pos1-40 : 0;
	if (init>0){
		init = text.indexOf(" ",init);
		puntos = "...";
	}else
		puntos="";
		
	var auxFin = init+size>text.length ? text.length : init+size;
	if (auxFin < text.length){
		auxFin = text.indexOf(" ",auxFin);
		if (auxFin==-1){
			auxFin = text.length;
			puntosFin = "";
		}else
			puntosFin = "...";
	}else
		puntosFin ="";
	var text_2 = text.substring(init,auxFin); 	  //primer texto, contiene primera palabra que apalrece
	if (num<=i)
		return puntos+doBold(text_2,palabras,num)+puntosFin;
				
	palabra = palabras[i].toLowerCase();
	var pos2 = getPosWordAbsolut_st(text_l,palabra)
	if (pos2<0)
		pos2 = getPosWord_st(text_l,palabra);
	while (pos2<0 ){
		i++;
		if (num<=i) 
			return puntos+doBold(text_2,palabras,num)+puntosFin; //no se encontro mas palabras, se devuelve lo que ya se encontro
			
		palabra = palabras[i].toLowerCase();
		pos2 = getPosWordAbsolut_st(text_l,palabra);
		if(pos2<0)
			pos2 = getPosWord_st(text_l,palabra);
	} //end while(pos2<0)
														//second word was found.
	var	text_2_l = text_2.toLowerCase();
	 var pos3 = getPosWordAbsolut_st(text_2_l,palabra);
	 if (pos3<0)
		pos3 = getPosWord_st(text_2_l,palabra);
	 if(pos3>-1)
		return puntos+doBold(text_2,palabras,num)+puntosFin;   //second word was in first text -> return first texts
		
	if (Math.abs(pos2-pos1)<size){
		if (pos2<pos1){
			init = pos2-40>0 ? pos2-40 : 0;
			if (init>0){
				init = text.indexOf(" ",init);
				puntos = "...";
			}else
				puntos = "";
			auxFin = text.indexOf(" ",Math.max(pos1+30,init+size));
			if (auxFin==-1){
				auxFin = text.length;
				puntosFin = "";
			}else
				puntosFin = "...";
			text_2 = text.substring(init,auxFin);
			
			return puntos+doBold(text_2,palabras,num)+puntosFin;
			
		}else{                                                  //d(pos1,pos2)<size and pos1<pos2
			auxFin = text.indexOf(" ",pos2+30);
			if (auxFin==-1){
				auxFin = text.length;
				puntosFin = "";
			}else
				puntosFin = "...";
			text_2 = text.substring(init,auxFin);
			return puntos+doBold(text_2,palabras,num)+puntosFin;
		}
	}else{
		if (pos2<pos1){
			init = pos2-40>0 ? pos2-40 : 0;
			if(init>0){
				init = text.indexOf(" ",init);
				puntos = "...";
			}else
				puntos = "";
			auxFin = text.indexOf(" ",init+ Math.round(size/2));					
			var auxFin2 = text_2.indexOf(" ",Math.round(size/2));
			if (auxFin2==-1){
				auxFin2 = text_2.length;
				puntosFin = "";
			}else
				puntosFin = "...";
			
			text_2 = text.substring(init,auxFin)+"..."+text_2.substring(0,auxFin2);
			return puntos+doBold(text_2,palabras,num)+puntosFin;
		}else{                                                  //d(pos1,pos2)>size and pos1<pos2
			init = pos2-40>0 ? pos2-40 : 0;
			if(init>0)
				init = text.indexOf(" ",init);
			auxFin = text.indexOf(" ",init+ Math.round(size/2));
			if (auxFin==-1){
				auxFin = text.length;
				puntosFin = "";
			}else
				puntosFin = "...";
				
			var auxFin2 = text_2.indexOf(" ",Math.round(size/2));
			if (auxFin2==-1)
				auxFin2 = text_2.length;
				
			text_2 = text_2.substring(0,auxFin2)+"..."+text.substring(init,auxFin);
			return puntos+doBold(text_2,palabras,num)+puntosFin;
		}
	}
	return puntos+doBold(text_2,palabras,num)+puntosFin;
}


/*return the text with tags <b><i>palabra[i]</i></b>*/
function doBold(text, palabras,num){
	var i;
	var text_l = text.toLowerCase();
	for (i =0; i<num; i++){
		var pos = text_l.indexOf(palabras[i].toLowerCase());

		var init = 0;
		while (pos>-1){
			if((pos==0 || !isAlphaNumeric(text.charAt(pos-1)))){ //!inTag(text,pos) && 
				text = text.substring(0,pos)+"<b><i>"+text.substring(pos,pos+palabras[i].length)+"</i></b>"+text.substring(pos+palabras[i].length, text.length);
				text_l = text.toLowerCase();
				pos = pos+6;
			}
			init = pos+palabras[i].length;
			pos = text_l.indexOf(palabras[i].toLowerCase(),init);
		}
	}
	return text;
}


/*get the position of a word in an Html-Text, which is not in a tag and where word is at the beguinning of a word
  search for "some" in "where <p class="some"> is my word tha says something like </p>" ----> pos= 24, for "something".*/
function getPosWord(text, word){
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word);
	while (pos>-1){
		if (!inTag(text,pos) && ( pos==0 || !isAlphaNumeric(text.charAt(pos-1)))) 
			return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}

/*Same as above but with and index "init", from where to start the search in "text"*/
function getPosWord_2(text, word,init){
	if (pos>text.length) return -1;
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word,init);
	while (pos>-1){
		if (!inTag(text,pos) && ( pos==0 || !isAlphaNumeric(text.charAt(pos-1)))) //&& (pos+word.length == text.length || !isAlphaNumeric(text.charAt(pos+word.length+1))))
			return pos;
		//if (pos==-1) return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}

/*get the position of a word in a simple text, which is not in a tag and where word is at the beguinning of a word*/
function getPosWord_st(text, word){
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word);
	while (pos>-1){
		if (( pos==0 || !isAlphaNumeric(text.charAt(pos-1)))) 
			return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}

/*Same as above but with and index "init", from where to start the search in "text"*/
function getPosWord_st_2(text, word,init){
	if (pos>text.length) return -1;
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word,init);
	while (pos>-1){
		if (!inTag(text,pos) && ( pos==0 || !isAlphaNumeric(text.charAt(pos-1)))) //&& (pos+word.length == text.length || !isAlphaNumeric(text.charAt(pos+word.length+1))))
			return pos;
		//if (pos==-1) return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}

/*get the position of a word in an Html-Text, which is not in a tag and where word appears complete,
  search for "some" in "where <p class="some"> is my word tha says something like </p>" ----> pos= -1.
  search for "somemething" in "where <p class="some"> is my word tha says something like </p>" ----> pos= 24.*/
function getPosWordAbsolut(text, word){
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word);
	while (pos>-1){
		if (!inTag(text,pos) && ( pos==0 || !isAlphaNumeric(text.charAt(pos-1))) && (pos+word.length == text.length || !isAlphaNumeric(text.charAt(pos+word.length))))
			return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}


/*Same as above but with and index "init", from where to start the search in "text"*/
function getPosWordAbsolut_2(text, word,init){
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word,init);
	while (pos>-1){
		if (!inTag(text,pos) && ( pos==0 || !isAlphaNumeric(text.charAt(pos-1)))&& (pos+word.length == text.length || !isAlphaNumeric(text.charAt(pos+word.length))))
			return pos;
		//if (pos==-1) return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}

/*get the position of a word in a simple Text, where word appears complete,*/
function getPosWordAbsolut_st(text, word){
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word);
	while (pos>-1){
		if (( pos==0 || !isAlphaNumeric(text.charAt(pos-1))) && (pos+word.length == text.length || !isAlphaNumeric(text.charAt(pos+word.length))))
			return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}

/*Same as above but with and index "init", from where to start the search in "text"*/
function getPosWordAbsolut_st_2(text, word,init){
	text = text.toLowerCase();
	word = word.toLowerCase();
	var pos = text.indexOf(word,init);
	while (pos>-1){
		if (!inTag(text,pos) && ( pos==0 || !isAlphaNumeric(text.charAt(pos-1)))&& (pos+word.length == text.length || !isAlphaNumeric(text.charAt(pos+word.length))))
			return pos;
		//if (pos==-1) return pos;
		pos = text.indexOf(word,pos+word.length);
	}
	return -1;		
}




/* *************************************************************************************************/
function getLinksBeta(numbers,len, palabras, len_p){
	var i;
	var links = "";
	for(i=0; i<len; i++) 
		links = links + getLinkText(numbers[i],palabras,len_p);
	if (len==0){
		if (len_p<1)
			return "<p style='text-indent:0'>No words to search.</p>";
		links = palabras[0];	
		for (i =1; i<len_p; i++)
			links = links + ", " +palabras[i];
		links = "<p style='text-indent:0'>The words: <i><b>" + links + "</b></i> where not found.</p>"
	}
			
	return links;
}


 
/*returns the ordered vector "vector"*/ 
function ordenaVect(vector, len){
	var i;
	var pageOrder = new Array(len);
	var max_i = 0;
	var index = 0;
	var vect  = new Array();
	for (i =0; i<len; i++)
		vect[i] = vector[i];
	for (j=0; j<len; j++){
		for (i=0; i<len; i++)
			if(vect[i]>vect[max_i])
				max_i = i
	if (vect[max_i]<1)
		return pageOrder;
		
	pageOrder[index] = max_i;
	index++;
	vect[max_i] = -1;				
	}
	return pageOrder;
}

function ordenaVectLen(vect, len){
	var i;
	var pageOrder = new Array();
	var max_i = 0;
	var index = 0;
	for (j=0; j<len; j++){
		for (i=0; i<len; i++)
			if(vect[i]>vect[max_i])
				max_i = i
	if (vect[max_i]<1)
		return index;
		
	pageOrder[index] = max_i;
	index++;
	vect[max_i] = -1;				
	}
	return index;
}
 
/*Returns the value of a list of words in a given page, see bellow*/ 
function getValueOfWords(words,wordsLen,page){
	var value = 0;
	for (i=0; i<wordsLen; i++)
		value = value + getValueOfWord(words[i], page);
	return value;
}
 
 
/*Given a word, and a text (page-number) it returns the value of that word (sum of tags-values / appearances )*/ 
function getValueOfWord(word, page){
	word = word.toLowerCase();
	var len = word.length;
	var text = getPageCode(page).toLowerCase();
	var pos = getPosWord(text,word);
	var ratio = 1;
	var value = 0;
	while(pos>-1){
		if (!isAlphaNumeric(text.charAt(pos+len)))
			value = value + getTagValue(text,pos)*ratio;
		pos = getPosWord_2(text,word,pos+len);
	}
	return value;
}


/*Given the position in the text ("pos", "text") search for the closest recognized tag and returns the tags value
  "<b> hello </b>"  search for  pos=8 -returns-> 3*/
function getTagValue(text,pos){
	var tag = "";
	var posAux = pos;
	while ( !myTag(tag)){
		var tagInit = text.indexOf("</",pos);
		var tagFin = text.indexOf(">",tagInit);
		if (tagInit==-1 || tagFin == -1) return 1;
		tag = text.substring(tagInit+2,tagFin);
		var aux = text.indexOf("<"+tag,posAux);	
		if(aux>0 && aux<tagFin)
        tag = "";
      pos = tagFin;
    }
    return tagValue(tag);
}
  
 /*Returns the assgned value of a tag,   "tag='h4'  ->  5"*/
function tagValue(tag){
	var tags = new Array ("title","h1","h2","h3","h4","h5","b","u","i","a","ul", "li","p", "body");
	var tagVal = new Array (15,    12,  8,   6,   5,   4,   3,  3,  3,  2,  1,    1,   1,    1);
	var i=0;
	for (i=0; i<14; i++)
		if (tags[i] == tag) return tagVal[i];
	return 1;
}

/*Is "tag" one of the considered tags   " 'div' -> false  " */
function myTag(tag){
	var tags = new Array ("title","h1","h2","h3","h4","h5","b","u","i","a","ul", "li","p", "body");
	var i;
    for (i=0; i< 14; i++){
      if (tags[i] == tag)
        return true;
    }
    return false;
  }
  
/*removes from the word extra spaces*/  
function spaceTrim(word){
	for (i =0; i<word.length-1; i++)
		if (word.charAt(i)==" " && word.charAt(i+1)==" "){
			word = word.substring(0,i)+word.substring(i+1,word.length)
			i--;
		}
	if (word.charAt(0)==" ")
		word = word.substring(1,word.length)
	if (word.charAt(word.length-1) ==" ")
		word = word.substring(0,word.length-1)
	return word;
}

/*removes from the word udesired subwords "thing"    word = 'miami's city", thing=" 's " --> "miami city"*/
function thing_trim(word,thing){
	var word_l = word.toLowerCase();
	thing = thing.toLowerCase();
	var pos = word.indexOf(thing);
	while(pos>-1){
		word = word.substring(0,pos)+word.substring(pos+thing.length,word.length);
		word_l = word_l.substring(0,pos)+word_l.substring(pos+thing.length,word_l.length);
		pos = pos = word.indexOf(thing,pos);
	}
	return word;
}

/*removes from big_word all the appareances of small_word, like small_word="the", or small_word="a")*/
function word_trim(big_word,small_word){
	var big_word_l = big_word.toLowerCase();
	small_word = small_word.toLowerCase();
	var pos = getPosWordAbsolut_st(big_word,small_word);
	while(pos>-1){
		big_word = big_word.substring(0,pos)+big_word.substring(pos+small_word.length,big_word.length);
		big_word_l = big_word_l.substring(0,pos)+big_word_l.substring(pos+small_word.length,big_word_l.length);
		pos = pos = getPosWordAbsolut_st_2(big_word,small_word,pos);
	}
	return big_word;
}

function swapW(texto,wasWord,tobe){
 	var texto_l = texto.toLowerCase();
	var pos = texto_l.indexOf(wasWord);
	while(pos>-1){
		texto = texto.substring(0,pos)+tobe+texto.substring(pos+wasWord.length,texto.length);
		texto_l = texto_l.substring(0,pos)+tobe+texto_l.substring(pos+wasWord.length,texto_l.length);
		pos = texto_l.indexOf(wasWord,pos);
	}
	
	return texto;
}
	

/*Returns an Array of coded-words strarting with the letter  "letra"*/
function getVector(letra){
		var palabras = new Array();
		switch(letra){
case 'a': 
palabras[0] = 'a,12,204,15,167,5,140,14,92,6,70,7,64,13,63,0,47,9,44,11,44,1,38,8,36,16,29,2,28,3,22,4,22,10,13';  palabras[1] = 'abandoned,5,2';  palabras[2] = 'abate,11,2';  palabras[3] = 'abatement,11,7';  palabras[4] = 'abatements,13,1';  palabras[5] = 'abating,11,6';  palabras[6] = 'abilities,14,1';  palabras[7] = 'ability,12,2,0,1,4,1,6,1,13,1,15,1';  palabras[8] = 'able,12,10,14,3,2,1';  palabras[9] = 'about,8,6,7,3,10,2,2,1,3,1,5,1,16,3';  palabras[10] = 'above,7,11,8,4,0,3,6,3,12,3,5,2,2,1,9,1,10,1,13,1';  palabras[11] = 'absolute,4,1';  palabras[12] = 'absorbed,7,3';  palabras[13] = 'absorption,7,12';  palabras[14] = 'abuse,15,8,0,1,13,1,14,1';  palabras[15] = 'academic,14,1';  palabras[16] = 'accelerate,14,1';  palabras[17] = 'accept,9,1';  palabras[18] = 'acceptable,3,1';  palabras[19] = 'acceptance,12,1';  palabras[20] = 'access,13,8,12,5,4,2,14,2,1,1,2,1,5,1,9,1,15,1,16,1';  palabras[21] = 'accessibility,2,1';  palabras[22] = 'accessible,9,6,2,2,15,2,0,1';  palabras[23] = 'accessing,8,1';  palabras[24] = 'accommodate,7,1';  palabras[25] = 'accommodated,12,1';  palabras[26] = 'accomplish,11,6,14,2,0,1,2,1';  palabras[27] = 'accomplished,14,2,0,1,15,1';  palabras[28] = 'accomplishments,3,2';  palabras[29] = 'accordance,15,6,16,3,0,1';  palabras[30] = 'according,7,8,13,5,4,3,9,3,11,3,8,2,6,1,10,1,16,1';  palabras[31] = 'accordingly,14,1';  palabras[32] = 'account,8,2,13,2,2,1,4,1,6,1,12,1,14,1';  palabras[33] = 'accountability,16,9,14,1';  palabras[34] = 'accounted,8,2,11,2';  palabras[35] = 'accounting,16,1';  palabras[36] = 'accounts,13,2,0,1,12,1,14,1';  palabras[37] = 'accumulate,15,1';  palabras[38] = 'accurate,13,1';  palabras[39] = 'accused,7,1';  palabras[40] = 'achieve,0,6,12,5,13,2,3,1,4,1,15,1';  palabras[41] = 'achieved,12,1,13,1';  palabras[42] = 'achieving,13,1';  palabras[43] = 'acknowledge,12,1,14,1';  palabras[44] = 'acknowledged,14,1';  palabras[45] = 'acquire,5,1,12,1';  palabras[46] = 'acquired,6,2,8,1,14,1';  palabras[47] = 'acquisition,12,20,6,3,0,2,14,2,15,2';  palabras[48] = 'acre,5,1';  palabras[49] = 'across,3,1,9,1,13,1';  palabras[50] = 'act,16,5,7,2,14,2,1,1,6,1,12,1,13,1';  palabras[51] = 'action,0,3,2,3,14,2,1,1,3,1,9,1,16,1';  palabras[52] = 'actions,1,3,3,3,5,1';  palabras[53] = 'active,11,6,5,1,6,1,13,1,14,1';  palabras[54] = 'actively,2,2,13,2,14,1,15,1';  palabras[55] = 'activitie,2,6';  palabras[56] = 'activities,14,44,15,26,2,11,11,9,0,4,6,4,16,4,3,3,12,3,13,2,1,1,7,1';  palabras[57] = 'activity,12,102,15,52,7,32,14,9,0,7,5,2,1,1,16,1';  palabras[58] = 'actual,11,1';  palabras[59] = 'ada,12,2,14,2';  palabras[60] = 'adapted,9,1';  palabras[61] = 'adaptive,5,1';  palabras[62] = 'addi,6,5,12,1';  palabras[63] = 'addiction,9,1';  palabras[64] = 'addicts,14,2';  palabras[65] = 'addition,12,9,5,5,0,4,9,3,1,2,2,2,8,2,13,2,14,2,15,2,3,1,4,1,6,1,16,1';  palabras[66] = 'additional,12,8,6,6,11,6,9,4,5,2,10,2,0,1,8,1,14,1,16,1';  palabras[67] = 'additionally,5,1,16,1';  palabras[68] = 'additions,7,1';  palabras[69] = 'address,11,18,13,5,14,4,0,3,12,3,1,2,3,2,4,1,7,1,15,1';  palabras[70] = 'addressed,9,6,2,2,10,1,12,1';  palabras[71] = 'addressing,3,2,0,1,1,1,2,1,9,1,11,1,13,1,14,1';  palabras[72] = 'adds,16,1';  palabras[73] = 'adequate,13,4,0,1,7,1,14,1';  palabras[74] = 'adequately,15,2,0,1';  palabras[75] = 'adhering,14,1,16,1';  palabras[76] = 'adjacent,5,3,7,1';  palabras[77] = 'adjoining,5,1';  palabras[78] = 'adjustments,14,3';  palabras[79] = 'administered,6,2,12,1';  palabras[80] = 'administering,0,1,1,1';  palabras[81] = 'administers,2,1,16,1';  palabras[82] = 'administration,14,8,2,6,15,6,3,3,5,2,10,2,16,1';  palabras[83] = 'administrative,16,1';  palabras[84] = 'administrator,6,1,8,1';  palabras[85] = 'admitted,9,1';  palabras[86] = 'adopt,12,5,0,1';  palabras[87] = 'adopted,2,1,14,1';  palabras[88] = 'adoption,3,1';  palabras[89] = 'adult,13,4,14,2,8,1';  palabras[90] = 'adulthood,14,1';  palabras[91] = 'adults,8,6,13,6,9,2,15,2,12,1,14,1';  palabras[92] = 'advance,5,1,9,1,12,1';  palabras[93] = 'advanced,13,1';  palabras[94] = 'advantage,13,1';  palabras[95] = 'advent,14,1';  palabras[96] = 'adversely,11,6';  palabras[97] = 'advertising,2,1';  palabras[98] = 'advice,15,1,16,1';  palabras[99] = 'advocacy,12,6,8,1,13,1,14,1';  palabras[100] = 'advocate,14,1,15,1';  palabras[101] = 'advocates,13,1';  palabras[102] = 'advocating,14,1';  palabras[103] = 'aesthetics,7,1';  palabras[104] = 'affect,11,6,12,2,4,1,7,1,13,1,14,1';  palabras[105] = 'affected,4,1';  palabras[106] = 'affecting,7,1';  palabras[107] = 'affiliated,14,1';  palabras[108] = 'affirmative,10,1';  palabras[109] = 'affirmatively,10,6,12,1';  palabras[110] = 'affirming,1,3';  palabras[111] = 'affluent,5,1';  palabras[112] = 'afford,6,3,10,1,12,1';  palabras[113] = 'affordability,7,36,0,17,6,2,12,2,1,1,10,1';  palabras[114] = 'affordable,12,118,0,35,7,27,6,17,8,9,10,7,14,6,5,3,3,2,1,1,2,1,9,1,16,1';  palabras[115] = 'aforementioned,3,1,14,1,16,1';  palabras[116] = 'african,6,6,7,5,5,3,13,2,9,1';  palabras[117] = 'after,14,3,12,2,3,1,5,1,7,1,10,1,13,1';  palabras[118] = 'against,14,2,7,1,16,1';  palabras[119] = 'age,6,23,7,20,8,19,13,11,11,6,0,1,4,1,14,1';  palabras[120] = 'age",7,1';  palabras[121] = 'aged,6,2,5,1';  palabras[122] = 'agencies,15,10,3,9,9,7,14,6,0,5,13,3,16,3,2,2,1,1,8,1';  palabras[123] = 'agency,3,4,16,4,2,2,10,2,12,2,0,1,1,1,5,1,8,1,15,1';  palabras[124] = 'agenda,15,1';  palabras[125] = 'ages,11,7,8,6,6,5,9,1,13,1';  palabras[126] = 'aggressive,3,1';  palabras[127] = 'aggressively,3,1,12,1,15,1';  palabras[128] = 'aging,0,6,14,1';  palabras[129] = 'ago,5,1';  palabras[130] = 'agreement,9,2,14,1';  palabras[131] = 'agreements,3,1,13,1';  palabras[132] = 'aid,14,1';  palabras[133] = 'aided,6,1';  palabras[134] = 'aids,8,51,12,25,0,5,6,4,2,3,1,1,5,1,14,1';  palabras[135] = 'aim,5,2,12,1';  palabras[136] = 'aimed,14,2,0,1,3,1,12,1,15,1';  palabras[137] = 'aims,14,2,1,1,13,1';  palabras[138] = 'air,5,1';  palabras[139] = 'airport,4,1,5,1';  palabras[140] = 'alarmingly,13,1';  palabras[141] = 'alcohol,15,2';  palabras[142] = 'align,15,1';  palabras[143] = 'alike,5,1';  palabras[144] = 'all,6,40,15,15,7,12,12,11,8,10,16,9,13,7,1,6,0,5,3,5,11,5,14,5,2,3,5,3,4,2,9,1,10,1';  palabras[145] = 'allapatah,8,2';  palabras[146] = 'allapattah,5,22,8,8,0,5,7,3,13,3,6,1,10,1,11,1,12,1,14,1';  palabras[147] = 'allegations,16,1';  palabras[148] = 'alleviate,14,9';  palabras[149] = 'alleviating,1,1';  palabras[150] = 'alliance,3,1';  palabras[151] = 'allocate,15,4,0,1,10,1';  palabras[152] = 'allocated,5,1,14,1';  palabras[153] = 'allocates,6,2,14,1';  palabras[154] = 'allocating,15,1';  palabras[155] = 'allocation,14,2,1,1,2,1,12,1,13,1';  palabras[156] = 'allocations,15,1';  palabras[157] = 'allow,12,3,6,1,14,1';  palabras[158] = 'allowable,12,1,15,1';  palabras[159] = 'allowances,9,1';  palabras[160] = 'allowed,2,1,14,1';  palabras[161] = 'allowing,12,1,14,1';  palabras[162] = 'allows,11,1';  palabras[163] = 'almost,6,7,13,4,12,3,0,1,4,1';  palabras[164] = 'alone,6,1,9,1,12,1';  palabras[165] = 'along,5,16,13,4,15,3,12,2';  palabras[166] = 'already,13,3,5,1,7,1,12,1';  palabras[167] = 'also,5,15,8,12,13,11,7,9,12,7,9,6,1,5,6,5,3,4,10,4,4,3,14,3,16,3,0,2,2,2,11,1,15,1';  palabras[168] = 'alter,7,1';  palabras[169] = 'alteration,16,1';  palabras[170] = 'alternative,5,1';  palabras[171] = 'although,5,4,12,3,13,3,4,2,6,2,11,1,15,1';  palabras[172] = 'always,13,1';  palabras[173] = 'ameliorating,5,1';  palabras[174] = 'amend,3,1';  palabras[175] = 'amended,1,1,12,1,16,1';  palabras[176] = 'amendments,2,1';  palabras[177] = 'amenities,12,1';  palabras[178] = 'america,4,4,5,1,7,1,13,1';  palabras[179] = 'american,6,9,5,2,7,2,13,2,9,1,10,1';  palabras[180] = 'americans,7,3,5,1,14,1';  palabras[181] = 'americas,5,1';  palabras[182] = 'ami,10,3';  palabras[183] = 'among,12,12,11,9,8,8,13,6,4,4,3,3,7,2,0,1,1,1,5,1,9,1,14,1,15,1';  palabras[184] = 'amount,6,4,7,3,8,2,14,2,2,1,12,1,13,1';  palabras[185] = 'amplify,15,1';  palabras[186] = 'an,5,24,13,16,1,14,7,12,14,12,6,11,8,11,16,10,9,8,10,8,0,7,2,7,12,7,15,5,4,3,3,2,11,2';  palabras[187] = 'analyses,1,2,9,1,14,1';  palabras[188] = 'analysis,11,12,12,8,9,7,7,5,13,5,6,4,0,2,8,2,1,1,2,1,3,1,4,1,5,1,10,1';  palabras[189] = 'analyst,16,3';  palabras[190] = 'analysts,16,3';  palabras[191] = 'analyze,3,1,7,1,13,1';  palabras[192] = 'analyzed,2,2';  palabras[193] = 'analyzes,3,1';  palabras[194] = 'analyzing,3,1';  palabras[195] = 'anchor,5,1';  palabras[196] = 'and,12,308,5,252,7,196,15,196,14,177,13,170,6,152,0,143,8,136,2,116,11,103,9,88,10,78,16,76,3,70,1,45,4,35';  palabras[197] = 'andspecifically,12,1';  palabras[198] = 'annual,3,2,5,2,9,2,10,2,16,2,0,1,1,1,2,1,6,1,7,1,8,1';  palabras[199] = 'annually,8,1,10,1';  palabras[200] = 'another,7,4,12,3,0,1,8,1,13,1,14,1';  palabras[201] = 'anti,14,32,1,8,0,7,13,6,15,2,3,1';  palabras[202] = 'anticipated,14,1';  palabras[203] = 'anticipates,5,1';  palabras[204] = 'antipoverty,1,1';  palabras[205] = 'any,9,7,16,4,6,3,8,2,10,2,11,2,12,2,2,1,14,1';  palabras[206] = 'anyone,12,1';  palabras[207] = 'apartment,7,6,8,4,5,2,6,1';  palabras[208] = 'apartments,7,2,12,2,5,1,8,1';  palabras[209] = 'apparent,5,1';  palabras[210] = 'appeal,5,1';  palabras[211] = 'appear,12,1';  palabras[212] = 'appearance,13,3,15,1';  palabras[213] = 'appears,13,1';  palabras[214] = 'applicable,15,6,16,4';  palabras[215] = 'applicant,11,1';  palabras[216] = 'applicants,1,3,12,3,14,2';  palabras[217] = 'application,12,6,1,4,0,2,2,1,9,1';  palabras[218] = 'applications,12,5,7,2';  palabras[219] = 'applied,7,3,16,1';  palabras[220] = 'apply,12,7,11,6,10,2,16,1';  palabras[221] = 'applying,12,2,10,1';  palabras[222] = 'appointment,14,1';  palabras[223] = 'approach,5,13,14,8,0,5,3,3,1,1,12,1,15,1';  palabras[224] = 'approaching,7,1';  palabras[225] = 'appropriate,9,2,14,2,2,1,12,1';  palabras[226] = 'appropriately,12,1';  palabras[227] = 'appropriation,6,1';  palabras[228] = 'approval,16,2,2,1';  palabras[229] = 'approve,12,1';  palabras[230] = 'approved,9,6,1,3,12,3,2,2,16,1';  palabras[231] = 'approves,16,1';  palabras[232] = 'approximate,5,1,6,1';  palabras[233] = 'approximately,13,6,5,3,9,3,0,2,4,2,7,2,11,1,12,1';  palabras[234] = 'approximates,6,1';  palabras[235] = 'architectural,5,1,13,1';  palabras[236] = 'archive,5,1';  palabras[237] = 'are,6,66,13,62,7,60,12,56,8,47,5,28,9,22,14,22,0,20,16,14,10,12,11,12,15,8,4,5,1,4,2,3,3,1';  palabras[238] = 'area,5,40,6,17,14,10,15,10,8,9,13,7,7,6,0,4,12,4,1,2,2,2,4,2,9,1,10,1,16,1';  palabras[239] = 'areas,7,27,5,19,0,15,13,13,14,10,11,9,12,9,15,8,2,5,6,3,9,3,1,2,3,1,8,1';  palabras[240] = 'arena,5,1';  palabras[241] = 'argued,6,1';  palabras[242] = 'arise,15,2,0,1';  palabras[243] = 'arises,14,1';  palabras[244] = 'around,5,3,0,1,9,1,11,1,13,1';  palabras[245] = 'arraignments,9,1';  palabras[246] = 'arrangements,8,1,12,1';  palabras[247] = 'array,15,2';  palabras[248] = 'arrest,9,2';  palabras[249] = 'arrested,9,1';  palabras[250] = 'arrestees,9,1';  palabras[251] = 'arrivals,4,1';  palabras[252] = 'arrived,4,2,5,1';  palabras[253] = 'art,5,10,14,1';  palabras[254] = 'artery,5,1';  palabras[255] = 'articulation,16,3';  palabras[256] = 'artist,5,1';  palabras[257] = 'artistic,14,2';  palabras[258] = 'artists,5,2';  palabras[259] = 'arts,7,1,13,1,15,1';  palabras[260] = 'as,5,44,13,34,14,33,7,30,8,26,6,22,12,18,0,15,4,13,9,13,15,13,1,11,11,11,3,8,2,7,16,7,10,5';  palabras[261] = 'asian,10,1';  palabras[262] = 'asians,4,1';  palabras[263] = 'aside,12,8,0,1,9,1';  palabras[264] = 'aside(new,12,1';  palabras[265] = 'ask,8,1';  palabras[266] = 'asked,8,2';  palabras[267] = 'aspect,14,1,15,1';  palabras[268] = 'aspirations,15,1';  palabras[269] = 'aspiring,5,1';  palabras[270] = 'assemble,12,1';  palabras[271] = 'assembly,3,1';  palabras[272] = 'assertive,9,4';  palabras[273] = 'assess,7,1,13,1,14,1';  palabras[274] = 'assessing,0,1,16,1';  palabras[275] = 'assessment,6,23,8,18,13,15,9,14,10,13,0,9,12,5,7,4,2,1,5,1,16,1';  palabras[276] = 'assessment",7,1';  palabras[277] = 'assessments,1,1,7,1,8,1';  palabras[278] = 'asset,10,6';  palabras[279] = 'assets,5,9,3,2,0,1,13,1,14,1,15,1';  palabras[280] = 'assigned,16,1';  palabras[281] = 'assimilation,4,1';  palabras[282] = 'assist,12,12,0,8,6,7,14,7,15,6,1,2,3,2,10,1';  palabras[283] = 'assistance,12,77,6,64,14,37,8,20,0,19,13,15,15,15,9,14,2,9,10,9,5,5,11,3,16,2,3,1,7,1';  palabras[284] = 'assistant,16,1';  palabras[285] = 'assistants,16,2';  palabras[286] = 'assisted,8,20,10,19,6,13,0,3,12,2,3,1,14,1,15,1';  palabras[287] = 'assisting,12,5,0,1';  palabras[288] = 'associated,7,7,12,4,0,1';  palabras[289] = 'associates,7,1';  palabras[290] = 'association,5,1,7,1';  palabras[291] = 'assume,16,3';  palabras[292] = 'assumption,7,1,13,1';  palabras[293] = 'assurance,12,1';  palabras[294] = 'assure,12,13,13,7,2,5,0,1,4,1,11,1';  palabras[295] = 'assures,16,1';  palabras[296] = 'assuring,12,1';  palabras[297] = 'at,14,14,5,12,2,9,11,8,12,8,16,6,4,4,6,4,7,4,13,4,0,3,3,3,8,3,9,3,15,3,1,2,10,2';  palabras[298] = 'athletic,14,1';  palabras[299] = 'atmosphere,14,1';  palabras[300] = 'attached,7,2,5,1';  palabras[301] = 'attachment,2,2,13,1';  palabras[302] = 'attack,1,1';  palabras[303] = 'attain,0,1,15,1';  palabras[304] = 'attainment,5,1,13,1,14,1,15,1';  palabras[305] = 'attempt,16,2,5,1';  palabras[306] = 'attempting,14,4,3,1,7,1';  palabras[307] = 'attend,9,1';  palabras[308] = 'attendance,2,1';  palabras[309] = 'attended,3,2';  palabras[310] = 'attention,11,1,13,1';  palabras[311] = 'attorney,5,1';  palabras[312] = 'attract,13,4,4,3,5,2,12,2,0,1,10,1,15,1';  palabras[313] = 'attracting,12,3';  palabras[314] = 'attraction,15,3,0,2,13,2,14,1';  palabras[315] = 'attractive,15,2';  palabras[316] = 'attracts,5,1';  palabras[317] = 'attribute,9,1';  palabras[318] = 'attributed,14,3,7,2,3,1,6,1,9,1,11,1,16,1';  palabras[319] = 'attributes,14,2';  palabras[320] = 'audio,2,1';  palabras[321] = 'audited,16,1';  palabras[322] = 'augment,0,1,15,1';  palabras[323] = 'authorities,10,2,8,1';  palabras[324] = 'authority,3,1,6,1,10,1,14,1';  palabras[325] = 'authorization,16,1';  palabras[326] = 'authorized,7,1,12,1';  palabras[327] = 'authorizes,14,1';  palabras[328] = 'auto,5,1';  palabras[329] = 'availability,10,6,12,4,0,1,6,1,7,1,15,1';  palabras[330] = 'available,12,23,9,12,14,8,2,7,6,5,5,4,8,3,10,3,15,3,0,2,13,2,7,1';  palabras[331] = 'avenue,5,82,13,1,14,1';  palabras[332] = 'avenues,5,2';  palabras[333] = 'average,10,4,6,2,7,2,0,1,13,1';  palabras[334] = 'averaged,7,1';  palabras[335] = 'awaited,5,1';  palabras[336] = 'award,10,2,15,1';  palabras[337] = 'awarded,14,2,9,1,16,1';  palabras[338] = 'awareness,2,1,11,1,12,1,14,1';  palabras[339] = 'awnings,13,1,14,1,15,1';  palabras[340] = 'axel,16,1';  
break;
case 'b': 
palabras[0] = 'b,12,63,15,9,9,1';  palabras[1] = 'back,9,3,4,1,14,1';  palabras[2] = 'background,0,5,5,5,6,5,7,5,8,5,9,5,10,5';  palabras[3] = 'backgrounds,4,1,6,1';  palabras[4] = 'backing,14,2';  palabras[5] = 'backup,14,1';  palabras[6] = 'bacon,16,12';  palabras[7] = 'bahamas,5,2';  palabras[8] = 'bahamian,13,2,5,1';  palabras[9] = 'bakehouse,5,1';  palabras[10] = 'balance,0,1,12,1,16,1';  palabras[11] = 'ballooned,4,1';  palabras[12] = 'bankable,13,2';  palabras[13] = 'banking,4,1,7,1';  palabras[14] = 'banks,5,1,7,1,13,1';  palabras[15] = 'barely,13,1';  palabras[16] = 'barrier,0,1,8,1,12,1,13,1,14,1';  palabras[17] = 'barriers,7,14,0,7,2,2,12,2,13,2,15,1';  palabras[18] = 'base,0,3,12,3,15,2';  palabras[19] = 'baseball,5,1';  palabras[20] = 'based,12,33,13,20,0,15,11,14,10,12,6,9,7,9,5,7,16,6,14,5,15,4,1,3,3,3,9,3,8,2';  palabras[21] = 'basel,5,1';  palabras[22] = 'baseline,6,1';  palabras[23] = 'basic,13,4,14,3,4,2,1,1,5,1,8,1,9,1,12,1,16,1';  palabras[24] = 'basis,0,3,15,3,16,3,5,2,12,2,6,1,9,1,14,1';  palabras[25] = 'battles,14,1';  palabras[26] = 'be,12,66,6,42,14,37,13,29,9,27,5,23,0,20,16,19,15,18,8,17,11,15,1,10,2,9,7,9,10,5,3,3,4,2';  palabras[27] = 'beach,7,3,8,1,13,1';  palabras[28] = 'beach",5,1';  palabras[29] = 'beautify,5,1,14,1';  palabras[30] = 'beauty,13,4,5,1';  palabras[31] = 'became,5,1';  palabras[32] = 'because,13,6,11,3,2,2,0,1,5,1,6,1,7,1,8,1,9,1,15,1';  palabras[33] = 'become,12,8,4,3,10,1,13,1,14,1';  palabras[34] = 'becomes,5,1';  palabras[35] = 'becoming,5,2,14,2';  palabras[36] = 'bedroom,6,2,7,2,8,1';  palabras[37] = 'bedrooms,8,1';  palabras[38] = 'beds,9,8,12,3';  palabras[39] = 'been,5,12,7,12,14,7,9,5,1,4,4,4,13,4,12,3,10,2,16,2,0,1,3,1,6,1,11,1,15,1';  palabras[40] = 'before,11,15,2,8,12,2,13,1,16,1';  palabras[41] = 'began,5,1';  palabras[42] = 'begin,7,2,4,1,5,1,6,1,10,1';  palabras[43] = 'beginning,1,1,2,1,5,1';  palabras[44] = 'begins,5,1,6,1';  palabras[45] = 'begun,5,1,7,1,9,1,13,1';  palabras[46] = 'behalf,14,2';  palabras[47] = 'behavior,11,6,13,1,14,1';  palabras[48] = 'behavioral,12,1';  palabras[49] = 'behind,7,1,14,1';  palabras[50] = 'being,7,8,13,3,14,3,16,3,2,2,5,2,6,2,0,1,8,1,11,1,12,1';  palabras[51] = 'belafonte,5,1';  palabras[52] = 'believe,4,1,13,1';  palabras[53] = 'below,7,15,6,13,12,8,13,6,0,4,5,4,8,4,10,4,2,3,14,2,1,1,3,1,15,1';  palabras[54] = 'benchmarks,3,1,16,1';  palabras[55] = 'beneficiaries,16,2,6,1';  palabras[56] = 'benefit,6,2,15,2,0,1,3,1,12,1,13,1,16,1';  palabras[57] = 'benefited,6,3,13,1';  palabras[58] = 'benefiting,14,1';  palabras[59] = 'benefits,14,3,13,2,3,1,6,1,10,1';  palabras[60] = 'best,15,6';  palabras[61] = 'better,16,2,5,1,14,1';  palabras[62] = 'between,6,26,8,19,7,13,5,9,11,6,14,6,9,3,12,3,0,2,3,1,4,1,15,1';  palabras[63] = 'beyond,12,1';  palabras[64] = 'biggest,5,1,14,1';  palabras[65] = 'billion,5,1';  palabras[66] = 'biomedical,14,1';  palabras[67] = 'births,7,1';  palabras[68] = 'black,4,5,5,3,7,3,10,2,13,2';  palabras[69] = 'blacks,8,3,4,2,11,2,10,1,13,1';  palabras[70] = 'bleak,14,1';  palabras[71] = 'blend,5,1';  palabras[72] = 'blight,5,3,0,2,13,2,2,1,12,1';  palabras[73] = 'blighted,2,1,12,1';  palabras[74] = 'block,5,65,12,9,0,7,11,6,6,3,1,2,13,2,2,1,7,1,15,1';  palabras[75] = 'blocks,5,52,12,41,0,14,1,3,3,2,13,2,10,1,15,1';  palabras[76] = 'blood,11,13';  palabras[77] = 'blue,3,1,16,1';  palabras[78] = 'blvd,5,3';  palabras[79] = 'board,9,2,5,1,12,1';  palabras[80] = 'boarded,5,1';  palabras[81] = 'boasts,5,1';  palabras[82] = 'bodegas,5,1';  palabras[83] = 'body,5,1';  palabras[84] = 'bond,9,1';  palabras[85] = 'bonds,6,5';  palabras[86] = 'bonus,15,1';  palabras[87] = 'boost,5,1';  palabras[88] = 'border,5,1';  palabras[89] = 'borders,5,1';  palabras[90] = 'born,4,6,12,1';  palabras[91] = 'botanicas,5,1';  palabras[92] = 'both,7,10,12,5,10,4,8,3,9,2,0,1,2,1,4,1,5,1,6,1,13,1,14,1,15,1';  palabras[93] = 'boulevard,5,12,13,1';  palabras[94] = 'boundaries,5,4,9,2,13,2,0,1';  palabras[95] = 'boundary,5,2';  palabras[96] = 'bounded,5,12';  palabras[97] = 'bounty,5,1';  palabras[98] = 'boutiques,5,1';  palabras[99] = 'box,5,1';  palabras[100] = 'bradford,7,1';  palabras[101] = 'brain,11,1';  palabras[102] = 'branches,16,1';  palabras[103] = 'brickell,7,1';  palabras[104] = 'bridge,6,1';  palabras[105] = 'bridges,5,1';  palabras[106] = 'brief,9,3,0,2,2,1,5,1,8,1,13,1,16,1';  palabras[107] = 'briefly,0,1';  palabras[108] = 'bring,5,2,12,2,3,1,13,1';  palabras[109] = 'broad,12,2,1,1,14,1';  palabras[110] = 'broader,13,3,4,1';  palabras[111] = 'broadly,14,1';  palabras[112] = 'brookings,4,1,12,1';  palabras[113] = 'brought,5,2,7,1';  palabras[114] = 'brownfields,5,1';  palabras[115] = 'budding,5,1';  palabras[116] = 'budget,6,1';  palabras[117] = 'budgetfi,3,3';  palabras[118] = 'budgeting,8,1,12,1,16,1';  palabras[119] = 'budgets,14,1';  palabras[120] = 'buena,5,1,14,1';  palabras[121] = 'build,5,3,0,2,15,2,2,1,3,1,13,1,14,1';  palabras[122] = 'building,7,8,8,7,3,5,14,5,5,4,12,3,15,2,1,1,2,1,13,1';  palabras[123] = 'buildings,5,4,12,2,16,2,10,1,14,1';  palabras[124] = 'builds,3,1,5,1';  palabras[125] = 'built,11,18,7,6,5,4,12,2,14,1';  palabras[126] = 'bulk,14,1';  palabras[127] = 'burden,6,17,8,7,12,3,13,3,0,1';  palabras[128] = 'burdened,6,33,0,2';  palabras[129] = 'bureaucratic,14,1';  palabras[130] = 'business,5,61,13,38,15,27,14,13,0,9,12,3,1,2,3,2,4,2,16,2,6,1,7,1';  palabras[131] = 'businessenvironment,15,1';  palabras[132] = 'businesses,13,17,14,9,15,8,3,2,5,2,12,2,4,1,16,1';  palabras[133] = 'busters,14,1';  palabras[134] = 'but,12,6,13,6,8,5,0,3,14,3,7,2,10,2,11,2,5,1,6,1,9,1';  palabras[135] = 'buy,2,1,6,1';  palabras[136] = 'buyers,12,3,5,1';  palabras[137] = 'buying,13,1';  palabras[138] = 'by,14,45,12,42,5,38,6,23,8,18,13,17,9,16,16,16,7,15,15,12,0,11,1,11,10,9,2,8,11,8,4,7,3,6';  
break;
case 'c': 
palabras[0] = 'c,12,45,15,9,5,1';  palabras[1] = 'cafeterias,14,1';  palabras[2] = 'calculated,6,1,9,1';  palabras[3] = 'calculating,7,2';  palabras[4] = 'calculation,7,2';  palabras[5] = 'calculations,9,1';  palabras[6] = 'call,8,1';  palabras[7] = 'calle,5,5';  palabras[8] = 'called,8,1,14,1';  palabras[9] = 'calls,5,6,12,4,0,3';  palabras[10] = 'calvin,7,1';  palabras[11] = 'campaign,2,7,14,2';  palabras[12] = 'campus,5,2';  palabras[13] = 'can,11,16,5,10,12,10,7,8,14,8,8,7,13,7,6,4,2,3,0,2,9,2,1,1,3,1,4,1,16,3';  palabras[14] = 'cap,14,6,12,1';  palabras[15] = 'capable,14,1';  palabras[16] = 'capacity,12,11,14,4,0,3,15,2,3,1,5,1,6,1';  palabras[17] = 'caper,3,1';  palabras[18] = 'capital,14,12,13,9,2,6,3,3,5,3,7,3,15,3,0,1,4,1,6,1';  palabras[19] = 'capitulation,1,1';  palabras[20] = 'car,5,1';  palabras[21] = 'card,9,1';  palabras[22] = 'cards,2,3';  palabras[23] = 'care,9,16,13,7,14,6,12,3,15,2,0,1,3,1,8,1,11,1,16,1';  palabras[24] = 'caretakers,6,1';  palabras[25] = 'caribbean,5,7,4,3,13,3';  palabras[26] = 'caring,1,1,9,1';  palabras[27] = 'carpentry,5,1';  palabras[28] = 'carried,16,4,2,1,14,1';  palabras[29] = 'carry,3,1,4,1,12,1,14,1,15,1';  palabras[30] = 'carrying,0,1,1,1,14,1';  palabras[31] = 'carryout,6,1';  palabras[32] = 'case,15,4,0,2,5,2,9,2,7,1,14,1';  palabras[33] = 'cases,11,20,8,7,6,1';  palabras[34] = 'catalyst,5,3,0,1,7,1,12,1,13,1';  palabras[35] = 'catapulted,14,1';  palabras[36] = 'catch,7,1';  palabras[37] = 'categorically,16,1';  palabras[38] = 'categories,7,6,14,2,3,1,6,1,16,1';  palabras[39] = 'category,6,10,7,7,14,4,8,2,0,1,13,1';  palabras[40] = 'cater,5,1,13,1';  palabras[41] = 'catering,14,1';  palabras[42] = 'cause,11,8';  palabras[43] = 'caused,7,1,11,6';  palabras[44] = 'causes,11,1,14,1';  palabras[45] = 'causeway,5,1';  palabras[46] = 'cbc,5,3,13,1';  palabras[47] = 'cbcs,13,12,5,9,15,6,0,4,14,3';  palabras[48] = 'cbd,7,1';  palabras[49] = 'cbos,14,2,1,1,3,1';  palabras[50] = 'cd,16,2';  palabras[51] = 'cdbg,15,34,14,26,1,9,6,6,12,6,0,4,2,3,3,1,13,1,16,5';  palabras[52] = 'cdcs,12,2,14,2,3,1,13,1';  palabras[53] = 'cedars,5,1';  palabras[54] = 'celebrations,5,1';  palabras[55] = 'celebrities,5,1';  palabras[56] = 'census,5,8,13,6,7,5,4,3,6,2,8,2,2,1,11,1';  palabras[57] = 'center,5,26,4,1,6,1,7,1,9,1,13,1,14,1';  palabras[58] = 'centered,3,1';  palabras[59] = 'centers,14,4,5,2,8,2,15,2,0,1,2,1,4,1,9,1';  palabras[60] = 'central,4,3,5,3,8,3,7,2,0,1,2,1,13,1';  palabras[61] = 'centrally,5,1';  palabras[62] = 'century,5,1';  palabras[63] = 'certain,12,3,7,2,8,2,13,2,16,2,4,1,5,1,6,1';  palabras[64] = 'certainnumber,12,1';  palabras[65] = 'certainty,8,1';  palabras[66] = 'certification,1,3';  palabras[67] = 'certifications,15,1';  palabras[68] = 'certified,5,1';  palabras[69] = 'cfr,14,11,1,3,16,2,6,1';  palabras[70] = 'chain,5,1,12,1,15,1';  palabras[71] = 'challenge,4,2,5,2,0,1,1,1,2,1,13,1,14,1';  palabras[72] = 'challenges,1,5,12,5,14,3,4,2,13,2,0,1,16,3';  palabras[73] = 'challenging,13,1';  palabras[74] = 'chamber,0,1,15,1';  palabras[75] = 'change,5,4,0,1,1,1,12,1';  palabras[76] = 'changes,14,4,7,2,13,2,3,1,5,1';  palabras[77] = 'channel,14,1';  palabras[78] = 'chapter,13,4,6,2,0,1,1,1,5,1,12,1';  palabras[79] = 'chapters,6,1,12,1';  palabras[80] = 'character,13,3,5,2,12,1,14,1,15,1';  palabras[81] = 'characteristics,8,13,9,6,5,2,6,2,1,1,13,1,14,1';  palabras[82] = 'chas,1,2,0,1';  palabras[83] = 'chdo,9,1';  palabras[84] = 'chdos,3,3,14,2,6,1';  palabras[85] = 'checklist,12,2,13,2';  palabras[86] = 'checks,16,1';  palabras[87] = 'child,13,3,14,2,15,2,0,1,5,1,11,1';  palabras[88] = 'childcare,14,12,15,11,0,1';  palabras[89] = 'childhood,14,2,0,1,11,1,12,1';  palabras[90] = 'children,11,47,13,8,14,8,10,6,9,5,15,3,6,1,12,1';  palabras[91] = 'chipping,11,1';  palabras[92] = 'choice,10,16,6,2,8,1';  palabras[93] = 'choices,10,6';  palabras[94] = 'choose,6,1';  palabras[95] = 'chooses,9,1';  palabras[96] = 'chronic,9,22,13,8,12,7,6,1,7,1';  palabras[97] = 'chronically,9,9,13,5';  palabras[98] = 'cigar,5,1';  palabras[99] = 'circulation,2,1';  palabras[100] = 'cites,7,1';  palabras[101] = 'cities,4,4,13,3,12,1';  palabras[102] = 'citizen,2,46,15,2,1,1,3,1,12,1,14,1';  palabras[103] = 'citizenry,14,1';  palabras[104] = 'citizens,14,11,15,4,1,3,3,2,4,2,0,1,2,1,5,1,12,1,16,1';  palabras[105] = 'citstat,14,1';  palabras[106] = 'city,12,118,7,108,5,71,6,71,0,64,13,61,14,60,2,58,4,56,11,51,9,49,8,41,3,40,15,31,10,27,16,18,1,9';  palabras[107] = 'citywide,14,2';  palabras[108] = 'civic,5,11,4,1,14,1';  palabras[109] = 'civil,5,1';  palabras[110] = 'claiming,14,1';  palabras[111] = 'class,0,2,4,1,5,1,12,1';  palabras[112] = 'classes,5,1';  palabras[113] = 'classification,12,1';  palabras[114] = 'classified,14,2';  palabras[115] = 'clean,14,3';  palabras[116] = 'cleaned,5,1';  palabras[117] = 'cleaning,14,1';  palabras[118] = 'clear,3,2,13,2,1,1,10,1';  palabras[119] = 'clearance,14,1';  palabras[120] = 'clearances,12,1';  palabras[121] = 'cleared,16,1';  palabras[122] = 'clearer,7,1';  palabras[123] = 'clearing,12,1';  palabras[124] = 'clearinghouse,6,1';  palabras[125] = 'clearly,7,3,12,1';  palabras[126] = 'clemente,5,1';  palabras[127] = 'client,8,1,12,1';  palabras[128] = 'clientele,14,2,13,1';  palabras[129] = 'clients,12,2,5,1,9,1';  palabras[130] = 'clinic,5,1';  palabras[131] = 'clinical,9,6';  palabras[132] = 'clinics,11,1';  palabras[133] = 'close,5,2,0,1,3,1,9,1';  palabras[134] = 'closely,6,4,12,2,14,2,3,1,5,1';  palabras[135] = 'closing,12,6,6,3,0,1';  palabras[136] = 'clothes,5,1';  palabras[137] = 'club,5,1';  palabras[138] = 'cluster,13,1';  palabras[139] = 'clustered,0,1,4,1,11,1';  palabras[140] = 'clusters,13,2';  palabras[141] = 'co,9,1,15,1';  palabras[142] = 'coalition,9,1';  palabras[143] = 'coconut,5,14,6,5,13,5,0,4,7,4,11,1,12,1,14,1';  palabras[144] = 'cocowalk,5,1';  palabras[145] = 'code,12,13,14,11,15,11,7,9,2,7,0,3,1,3,3,3,5,2,16,2,6,1,10,1,13,1';  palabras[146] = 'codes,11,5,8,3,14,2,0,1,10,1,13,1,15,1';  palabras[147] = 'cogent,15,1';  palabras[148] = 'cohesive,3,1,5,1,13,1';  palabras[149] = 'cohort,8,2';  palabras[150] = 'cohorts,8,1';  palabras[151] = 'coin,13,1';  palabras[152] = 'coincide,16,1';  palabras[153] = 'coincides,16,1';  palabras[154] = 'cola,5,1';  palabras[155] = 'collaboration,3,3,5,3,12,3,1,1,14,1';  palabras[156] = 'collaborative,1,1,3,1,5,1,12,1,14,1,16,1';  palabras[157] = 'collateral,14,1';  palabras[158] = 'collected,9,1';  palabras[159] = 'collective,3,1';  palabras[160] = 'collectively,14,2,3,1';  palabras[161] = 'college,5,2';  palabras[162] = 'colony,5,1';  palabras[163] = 'color,10,1';  palabras[164] = 'coma,11,6';  palabras[165] = 'combat,1,1,14,1';  palabras[166] = 'combating,14,1,15,1';  palabras[167] = 'combination,7,8,12,1';  palabras[168] = 'combined,12,1';  palabras[169] = 'come,4,1,5,1';  palabras[170] = 'coming,1,1,14,1';  palabras[171] = 'commence,10,1,16,1';  palabras[172] = 'commensurate,14,1';  palabras[173] = 'comment,2,11';  palabras[174] = 'comments,2,17,16,1';  palabras[175] = 'commerce,5,2,0,1,15,1';  palabras[176] = 'commercial,5,39,13,11,14,11,12,9,15,9,0,2';  palabras[177] = 'commission,2,14,14,7,5,5,13,5,1,2,3,1,4,1';  palabras[178] = 'commissioner,2,2';  palabras[179] = 'commissioners,3,3,0,2,2,1,9,1';  palabras[180] = 'commitment,5,1,13,1';  palabras[181] = 'commitments,0,1,5,1,7,1';  palabras[182] = 'committed,11,7,14,4,4,2,5,2,13,2,0,1,12,1,15,1';  palabras[183] = 'committee,12,7';  palabras[184] = 'common,0,1,4,1,15,1';  palabras[185] = 'commonalities,9,1';  palabras[186] = 'commonly,5,1';  palabras[187] = 'communicated,15,1';  palabras[188] = 'communication,12,1,14,1,16,1';  palabras[189] = 'communications,3,3';  palabras[190] = 'communities,13,16,5,6,12,6,0,2,4,2,2,1,3,1,6,1,15,1';  palabras[191] = 'community,0,49,5,47,15,46,13,41,14,41,3,30,2,29,1,22,12,16,16,16,10,8,9,7,6,6,11,6,7,5,4,1';  palabras[192] = 'compact,4,1,12,1';  palabras[193] = 'companies,13,3,15,1';  palabras[194] = 'company,15,1';  palabras[195] = 'comparative,5,1';  palabras[196] = 'compared,7,5,4,2,12,2,8,1,11,1';  palabras[197] = 'comparing,4,1,13,1';  palabras[198] = 'comparison,4,1,7,1,12,1';  palabras[199] = 'compassionate,15,1';  palabras[200] = 'compatible,0,1,15,1';  palabras[201] = 'compendium,16,3';  palabras[202] = 'compete,13,1';  palabras[203] = 'competencies,13,1';  palabras[204] = 'competency,14,1';  palabras[205] = 'competition,6,1,13,1';  palabras[206] = 'competitive,13,3,2,1,14,1,15,1,16,1';  palabras[207] = 'compiled,2,2,6,1';  palabras[208] = 'complaint,14,1';  palabras[209] = 'complaints,2,9,7,3,16,1';  palabras[210] = 'complement,0,1';  palabras[211] = 'complementary,9,1';  palabras[212] = 'complete,6,3,13,3,2,1,7,1,12,1';  palabras[213] = 'completed,5,6,6,2,9,2,7,1,12,1,16,1';  palabras[214] = 'completing,2,1';  palabras[215] = 'completion,5,1';  palabras[216] = 'complex,5,3';  palabras[217] = 'compliance,16,26,15,13,14,8,1,3,7,2,3,1,12,1,13,1';  palabras[218] = 'compliant,12,1';  palabras[219] = 'complicated,4,1,13,1';  palabras[220] = 'compliment,14,2,9,1';  palabras[221] = 'compliments,14,1';  palabras[222] = 'comply,14,1,15,1,16,1';  palabras[223] = 'complying,13,1';  palabras[224] = 'component,5,2,12,2,14,2,3,1,9,1,13,1,15,1';  palabras[225] = 'components,5,1,9,1,14,1';  palabras[226] = 'composed,4,1,8,1';  palabras[227] = 'composition,4,6';  palabras[228] = 'comprehensive,11,6,3,3,9,3,12,3,14,3,0,2,1,2,13,2,4,1,5,1,6,1';  palabras[229] = 'comprise,7,4,0,1,5,1,6,1,10,1';  palabras[230] = 'comprised,5,2,8,2,0,1,9,1';  palabras[231] = 'comprises,7,9,8,1';  palabras[232] = 'compromising,3,1';  palabras[233] = 'compstat,14,1';  palabras[234] = 'computed,7,1';  palabras[235] = 'concentrate,0,1,5,1,12,1';  palabras[236] = 'concentrated,8,8,5,5,0,3,12,2,4,1,7,1,11,1,13,1,14,1';  palabras[237] = 'concentrating,5,5,1,1';  palabras[238] = 'concentration,7,15,12,5,5,3,13,3,1,2,4,1,6,1,8,1,9,1,11,1';  palabras[239] = 'concentrations,7,22,8,6,5,2,6,1,9,1,11,1,12,1';  palabras[240] = 'concept,5,9,1,4,12,3,0,2,13,2';  palabras[241] = 'concepts,1,1,5,1';  palabras[242] = 'concern,14,1';  palabras[243] = 'concerned,14,1';  palabras[244] = 'concerning,8,1';  palabras[245] = 'concerns,2,2,15,1,16,1';  palabras[246] = 'conclude,1,1';  palabras[247] = 'concluded,7,1';  palabras[248] = 'concludes,13,1';  palabras[249] = 'conclusion,16,5';  palabras[250] = 'concurrent,14,1';  palabras[251] = 'condition,7,7,12,3,0,2,5,2,13,2,4,1';  palabras[252] = 'conditions,7,10,12,9,0,3,5,3,13,3,14,2,15,2,4,1,9,1';  palabras[253] = 'condo,5,2,0,1,7,1,12,1';  palabras[254] = 'condominium,7,8,0,1';  palabras[255] = 'condominiums,7,6,5,2,12,1';  palabras[256] = 'conduct,11,6,10,2,14,2,16,2,12,1,15,1';  palabras[257] = 'conducted,5,2,8,1,9,1,11,1,14,1';  palabras[258] = 'confirmation,14,1';  palabras[259] = 'conflict,12,1';  palabras[260] = 'conformity,16,2';  palabras[261] = 'confront,1,2,5,1';  palabras[262] = 'congregate,8,2,13,1';  palabras[263] = 'congress,16,1';  palabras[264] = 'conjunction,6,2,0,1,7,1,14,1,15,1';  palabras[265] = 'connectedness,13,1';  palabras[266] = 'connecting,13,1';  palabras[267] = 'connection,3,1,12,1,14,1';  palabras[268] = 'connections,13,1';  palabras[269] = 'conquering,14,1';  palabras[270] = 'conscious,14,1';  palabras[271] = 'consensus,2,2';  palabras[272] = 'consequences,1,1';  palabras[273] = 'consequently,15,8,14,2,5,1,16,1';  palabras[274] = 'conservation,12,1';  palabras[275] = 'consider,7,1,13,1,15,1';  palabras[276] = 'consideration,3,1,8,1,13,1,15,1';  palabras[277] = 'considered,5,5,6,3,13,3,0,2,4,2,7,2,12,2,2,1';  palabras[278] = 'considering,5,1';  palabras[279] = 'considers,8,1,12,1';  palabras[280] = 'consist,5,2,1,1';  palabras[281] = 'consistency,1,3,15,1';  palabras[282] = 'consistent,16,4,8,3,5,1,15,1';  palabras[283] = 'consisting,6,1';  palabras[284] = 'consists,5,1,12,1,14,1';  palabras[285] = 'consolidate,1,1';  palabras[286] = 'consolidated,1,22,3,15,2,14,0,10,16,8,5,6,12,5,7,3,14,2,15,2,4,1,6,1,8,1,9,1';  palabras[287] = 'constant,6,2,8,1';  palabras[288] = 'constantly,1,1';  palabras[289] = 'constituents,0,1';  palabras[290] = 'constitute,4,2,13,1';  palabras[291] = 'constituting,4,2';  palabras[292] = 'constructed,11,5,12,3,5,1,6,1';  palabras[293] = 'construction,7,41,12,30,0,11,6,10,5,5,16,5,14,3,13,2,4,1,15,1';  palabras[294] = 'consultant,11,6';  palabras[295] = 'consultants,0,1,1,1';  palabras[296] = 'consultation,12,1';  palabras[297] = 'consultations,3,1';  palabras[298] = 'consulted,3,2,0,1';  palabras[299] = 'consulting,12,2,0,1,1,1,14,1,15,1';  palabras[300] = 'consumer,5,1,12,1';  palabras[301] = 'consumers,8,2';  palabras[302] = 'consumption,13,1';  palabras[303] = 'contact,9,1,14,1,16,1';  palabras[304] = 'contacted,9,1';  palabras[305] = 'contain,11,1';  palabras[306] = 'containing,1,1,3,1,7,1';  palabras[307] = 'contains,0,1,12,1,14,1';  palabras[308] = 'contaminated,11,2';  palabras[309] = 'contemporary,5,2';  palabras[310] = 'contend,13,1';  palabras[311] = 'content,11,1';  palabras[312] = 'context,3,2,1,1,13,1';  palabras[313] = 'contiguous,5,1';  palabras[314] = 'contingent,1,1,15,1';  palabras[315] = 'continual,9,1';  palabras[316] = 'continually,3,1';  palabras[317] = 'continue,12,21,0,3,14,3,15,3,16,3,3,2,4,2,5,1,6,1,7,1,9,1,13,1';  palabras[318] = 'continued,15,2,4,1,7,1,12,1,13,1,14,1';  palabras[319] = 'continues,5,2,12,1';  palabras[320] = 'continuing,12,2,0,1,16,1';  palabras[321] = 'continuous,4,2';  palabras[322] = 'continuum,9,11,3,2,8,2,6,1,12,1,15,1,16,1';  palabras[323] = 'contract,16,15,7,12,10,2,12,2,0,1';  palabras[324] = 'contracted,1,1,3,1';  palabras[325] = 'contracting,16,1';  palabras[326] = 'contractor,16,3';  palabras[327] = 'contractors,16,5';  palabras[328] = 'contracts,16,7,10,1,12,1';  palabras[329] = 'contrasting,4,1';  palabras[330] = 'contrasts,4,1,5,1';  palabras[331] = 'contribute,0,1,7,1,15,1';  palabras[332] = 'contributed,1,1,7,1';  palabras[333] = 'contributes,7,1';  palabras[334] = 'contributing,5,1,7,1';  palabras[335] = 'contributions,5,1';  palabras[336] = 'control,11,12,8,2,16,2,3,1,13,1';  palabras[337] = 'controls,3,1';  palabras[338] = 'convenience,13,1';  palabras[339] = 'convenient,2,1';  palabras[340] = 'conveniently,2,1';  palabras[341] = 'conventional,7,2';  palabras[342] = 'conversely,7,1,14,1,16,1';  palabras[343] = 'conversion,10,1,12,1';  palabras[344] = 'conversions,12,1';  palabras[345] = 'convey,2,1';  palabras[346] = 'cooperate,11,1';  palabras[347] = 'cooperation,3,1,9,1';  palabras[348] = 'cooperative,3,1,6,1';  palabras[349] = 'coordinate,3,3,14,2,15,2,0,1,12,1,13,1';  palabras[350] = 'coordinated,3,5,12,3,2,1,5,1,14,1,15,1';  palabras[351] = 'coordinates,10,1';  palabras[352] = 'coordinating,3,3,14,1';  palabras[353] = 'coordination,3,29,9,10,12,7,14,7,2,6,11,6,13,6,15,6,0,1';  palabras[354] = 'copies,16,1';  palabras[355] = 'copy,2,1';  palabras[356] = 'coral,5,1,7,1';  palabras[357] = 'core,12,4,14,3,0,2,4,2,5,2,1,1,13,1';  palabras[358] = 'cornerstone,3,1';  palabras[359] = 'corporation,6,3,3,1';  palabras[360] = 'corporations,14,3,12,1,13,1';  palabras[361] = 'correct,12,5';  palabras[362] = 'correcting,14,1,15,1,16,1';  palabras[363] = 'correctional,9,1';  palabras[364] = 'correlates,7,1';  palabras[365] = 'correlation,6,2,8,2,0,1,7,1';  palabras[366] = 'corresponding,5,1';  palabras[367] = 'corridor,5,93,0,3,13,2,14,1';  palabras[368] = 'corridors,5,39,13,9,15,9,12,6,14,4,0,3,3,1';  palabras[369] = 'cost,6,52,12,12,0,5,13,2,14,2,15,2,16,2,3,1,5,1,7,1';  palabras[370] = 'costs,12,10,6,9,7,8,8,6,14,4,16,3,0,2,5,1,13,1';  palabras[371] = 'could,5,2,12,2,14,2,4,1,6,1,7,1,13,1';  palabras[372] = 'council,5,1';  palabras[373] = 'counseling,12,15,14,2,0,1,6,1,15,1';  palabras[374] = 'count,9,1,14,1';  palabras[375] = 'counted,6,2';  palabras[376] = 'counter,14,1';  palabras[377] = 'countries,4,1';  palabras[378] = 'country,4,2,5,1,12,1';  palabras[379] = 'county,7,34,9,28,5,13,12,13,8,11,11,8,0,6,4,6,10,5,2,3,6,3,15,2,13,1,14,1';  palabras[380] = 'countywide,2,8,9,1';  palabras[381] = 'couple,6,2';  palabras[382] = 'coupled,1,1,12,1,14,1,15,1';  palabras[383] = 'couples,6,2';  palabras[384] = 'course,0,2,5,1,15,1';  palabras[385] = 'courses,13,1';  palabras[386] = 'court,5,5,9,1';  palabras[387] = 'cover,14,1';  palabras[388] = 'coverage,14,1';  palabras[389] = 'covered,1,1,11,1,14,1,16,1';  palabras[390] = 'covering,5,1';  palabras[391] = 'cpd,0,1,3,1';  palabras[392] = 'cra,5,4,13,4,7,2';  palabras[393] = 'crafting,5,1';  palabras[394] = 'craftsmen,5,1';  palabras[395] = 'crane,14,1';  palabras[396] = 'crd,5,2';  palabras[397] = 'crds,5,6';  palabras[398] = 'create,12,26,13,6,0,5,15,4,4,3,14,3,5,2,10,2,2,1';  palabras[399] = 'created,5,2,7,1,9,1';  palabras[400] = 'creates,7,2,0,1,1,1,3,1,4,1,6,1';  palabras[401] = 'creating,13,5,15,4,5,3,2,2,7,2,12,2,16,8';  palabras[402] = 'creation,13,13,14,9,12,8,15,8,0,2,2,1,6,1,9,1';  palabras[403] = 'creatively,12,1';  palabras[404] = 'credit,12,12,7,10,14,4,6,3,0,2';  palabras[405] = 'credits,6,5';  palabras[406] = 'creole,5,4,2,2,4,2';  palabras[407] = 'crime,13,2,14,2,2,1,5,1,12,1';  palabras[408] = 'criminal,9,1';  palabras[409] = 'crisis,9,2';  palabras[410] = 'criteria,5,3,6,1';  palabras[411] = 'critical,6,6,7,2,2,1,12,1,13,1,14,1,15,1';  palabras[412] = 'cross,5,1';  palabras[413] = 'crosswalks,13,2';  palabras[414] = 'crosswinds,5,1';  palabras[415] = 'crucial,13,1';  palabras[416] = 'crusade,14,2';  palabras[417] = 'cuban,5,2,13,1';  palabras[418] = 'cubans,4,2';  palabras[419] = 'cultural,5,7,13,7,2,1,7,1,12,1,14,1';  palabras[420] = 'culturally,2,1,13,1';  palabras[421] = 'culture,5,1,13,1';  palabras[422] = 'cumulative,3,1';  palabras[423] = 'curbing,13,2,7,1';  palabras[424] = 'curbs,0,1,15,1';  palabras[425] = 'current,6,26,7,11,9,6,1,2,8,2,12,2,3,1,4,1,5,1,10,1,13,1,14,1,15,1';  palabras[426] = 'currently,7,6,9,3,5,2,12,2,0,1,8,1,13,1';  palabras[427] = 'curtail,14,1';  palabras[428] = 'customer,10,2';  palabras[429] = 'customers,5,1,15,1';  palabras[430] = 'cuts,14,1';  palabras[431] = 'cutting,5,1';  palabras[432] = 'cvs,5,1';  palabras[433] = 'cycle,0,1,2,1,15,1';  
break;
case 'd': 
palabras[0] = 'd,12,37,6,2,14,1';  palabras[1] = 'dade,7,44,9,30,12,17,8,14,5,11,10,10,11,7,0,5,2,2,3,2,4,2,6,2,13,2,14,1,15,1';  palabras[2] = 'daily,5,1,9,1,15,1';  palabras[3] = 'damage,11,1,14,1';  palabras[4] = 'dance,5,1';  palabras[5] = 'dangerous,5,1';  palabras[6] = 'data,6,2,9,2,13,2,5,1,7,1,8,1';  palabras[7] = 'date,2,1';  palabras[8] = 'dates,2,2';  palabras[9] = 'davis,16,12';  palabras[10] = 'day,9,15,5,3,13,2,14,2,11,1';  palabras[11] = 'days,2,1';  palabras[12] = 'daytime,14,1';  palabras[13] = 'dba,16,1';  palabras[14] = 'dcf,9,1';  palabras[15] = 'de,1,1';  palabras[16] = 'deadlines,16,1';  palabras[17] = 'dealerships,5,1';  palabras[18] = 'dealing,1,1';  palabras[19] = 'deals,13,1';  palabras[20] = 'death,8,2,11,6';  palabras[21] = 'deaths,7,1';  palabras[22] = 'debarment,16,1';  palabras[23] = 'debate,5,1';  palabras[24] = 'decades,4,1,7,1';  palabras[25] = 'decay,0,1,15,1';  palabras[26] = 'decaying,5,1';  palabras[27] = 'december,9,1';  palabras[28] = 'decent,10,6,12,4,6,2,0,1,5,1';  palabras[29] = 'decided,5,1';  palabras[30] = 'decision,5,4,16,1';  palabras[31] = 'decisions,5,1,7,1';  palabras[32] = 'declarative,1,1';  palabras[33] = 'declare,14,1';  palabras[34] = 'declared,12,1';  palabras[35] = 'decline,4,3,12,3,7,2,0,1,5,1';  palabras[36] = 'declined,7,9,4,2';  palabras[37] = 'declining,0,1,7,6';  palabras[38] = 'deconcentration,12,1,15,1';  palabras[39] = 'decorating,16,1';  palabras[40] = 'decrease,7,3,8,2,9,1,14,1';  palabras[41] = 'decreased,4,2,7,1';  palabras[42] = 'decreases,6,2,7,1';  palabras[43] = 'dedicated,8,1,9,1';  palabras[44] = 'deemed,0,2,14,2,15,2,1,1,2,1,7,1';  palabras[45] = 'deems,14,1';  palabras[46] = 'default,12,1';  palabras[47] = 'defeated,14,1';  palabras[48] = 'deferred,7,7,12,5,0,2';  palabras[49] = 'deficiencies,16,1';  palabras[50] = 'defifined,8,6';  palabras[51] = 'define,14,1';  palabras[52] = 'defined,6,17,9,6,5,5,13,2,14,2,8,1';  palabras[53] = 'defines,7,1';  palabras[54] = 'defining,0,1,15,1';  palabras[55] = 'definition,11,6,6,1,12,1';  palabras[56] = 'defray,12,1';  palabras[57] = 'degree,6,2,3,1,4,1,12,1,14,1';  palabras[58] = 'degrees,12,1';  palabras[59] = 'delineates,9,1';  palabras[60] = 'delinquency,14,1';  palabras[61] = 'delinquent,14,1';  palabras[62] = 'deliver,14,2,0,1,1,1,3,1,15,1';  palabras[63] = 'delivers,16,1';  palabras[64] = 'delivery,15,9,14,3,16,2,0,1,1,1,3,1,9,1';  palabras[65] = 'demand,6,11,7,9,8,8,10,8,12,3,9,2,14,1,15,1';  palabras[66] = 'demanding,14,1';  palabras[67] = 'demands,3,1';  palabras[68] = 'demographic,4,7,7,3';  palabras[69] = 'demography,1,1';  palabras[70] = 'demolish,12,1';  palabras[71] = 'demolished,5,2,12,1';  palabras[72] = 'demolition,12,2,14,1';  palabras[73] = 'demonstrate,5,1,16,1';  palabras[74] = 'demonstrated,0,1,5,1,15,1';  palabras[75] = 'demonstrates,11,1,14,1';  palabras[76] = 'demonstrating,0,2,11,1';  palabras[77] = 'demonstrations,5,1';  palabras[78] = 'denote,8,1';  palabras[79] = 'denotes,8,1';  palabras[80] = 'denser,12,1';  palabras[81] = 'densities,7,2';  palabras[82] = 'density,5,3,4,2,7,2';  palabras[83] = 'dental,14,1';  palabras[84] = 'department,14,71,3,22,15,13,1,12,0,10,11,10,16,9,9,7,12,7,5,6,2,5,6,5,10,3,7,1';  palabras[85] = 'departmental,16,1';  palabras[86] = 'departments,3,11,14,4,0,2,1,1,5,1,12,1,13,1,15,1';  palabras[87] = 'depend,5,1,13,1';  palabras[88] = 'dependency,13,12,15,1';  palabras[89] = 'dependent,13,6,4,1,14,1,15,1';  palabras[90] = 'depending,6,1';  palabras[91] = 'depends,13,1';  palabras[92] = 'depict,5,1,7,1';  palabras[93] = 'depicted,6,1,7,1';  palabras[94] = 'deploy,14,1';  palabras[95] = 'deployed,0,1';  palabras[96] = 'deploying,14,1';  palabras[97] = 'deposits,6,2';  palabras[98] = 'deprivation,15,1';  palabras[99] = 'deprived,16,1';  palabras[100] = 'derived,12,1';  palabras[101] = 'descendants,5,1';  palabras[102] = 'describe,16,2,7,1,8,1,9,1';  palabras[103] = 'described,12,4,5,2,2,1,3,1,7,1';  palabras[104] = 'describes,11,6,10,1,14,1';  palabras[105] = 'description,14,12,2,8,9,4,12,4,0,3,5,2,13,1,16,1';  palabras[106] = 'descriptions,5,1';  palabras[107] = 'design,5,10,13,3,7,2,3,1,12,1,14,1';  palabras[108] = 'designate,10,1';  palabras[109] = 'designated,8,8,0,2,6,2,7,2,10,2,5,1';  palabras[110] = 'designation,4,2,6,1,7,1';  palabras[111] = 'designations,12,1';  palabras[112] = 'designed,14,6,3,3,15,3,2,2,9,2,12,2,1,1,6,1,8,1';  palabras[113] = 'designee,16,2,2,1';  palabras[114] = 'desirable,14,1,15,1';  palabras[115] = 'desired,3,1';  palabras[116] = 'desires,2,1';  palabras[117] = 'despite,7,1';  palabras[118] = 'destinations,13,1';  palabras[119] = 'destitute,14,1,15,1';  palabras[120] = 'detached,7,2';  palabras[121] = 'detail,3,1,8,1,10,1,16,1';  palabras[122] = 'detailed,2,2,0,1,10,1,12,1,13,1';  palabras[123] = 'detailing,10,1';  palabras[124] = 'deter,13,1';  palabras[125] = 'deteriorated,0,1,5,1,15,1';  palabras[126] = 'deteriorating,6,1,11,1,12,1,14,1';  palabras[127] = 'deterioration,12,2,6,1,11,1';  palabras[128] = 'determination,9,1';  palabras[129] = 'determine,13,4,14,2,2,1';  palabras[130] = 'determined,7,5,14,4,8,3,12,3,2,1,3,1,9,1,16,1';  palabras[131] = 'determining,12,2,0,1,7,1,15,1,16,1';  palabras[132] = 'deterring,2,1';  palabras[133] = 'detox,9,1';  palabras[134] = 'detract,7,1';  palabras[135] = 'develop,11,12,12,11,14,6,13,3,1,2,3,2,5,2,0,1,2,1,9,1,15,1';  palabras[136] = 'developed,5,3,2,2,6,2,12,2,16,2,1,1,10,1,13,1,14,1';  palabras[137] = 'developer,5,1,6,1,7,1';  palabras[138] = 'developers,12,25,0,3,3,3,5,2,7,2,13,1,14,1,15,1';  palabras[139] = 'developing,14,4,15,4,0,3,2,1,3,1,9,1,13,1';  palabras[140] = 'development,5,166,14,76,0,74,13,68,15,66,12,63,11,38,3,27,1,21,7,18,6,17,16,16,2,15,10,11,8,3,4,1,9,1';  palabras[141] = 'developments,6,7,7,7,8,7,5,1,10,1';  palabras[142] = 'diagnosed,9,1,12,1';  palabras[143] = 'diagnosis,8,1';  palabras[144] = 'dialogue,3,1';  palabras[145] = 'diaz,14,2';  palabras[146] = 'did,7,1';  palabras[147] = 'differ,6,2,8,1';  palabras[148] = 'difference,7,1';  palabras[149] = 'different,8,3,2,1,6,1';  palabras[150] = 'differentiate,7,1';  palabras[151] = 'differently,2,1';  palabras[152] = 'differing,15,1';  palabras[153] = 'differs,6,1';  palabras[154] = 'difficult,13,3,12,2,0,1,4,1,5,1,8,1';  palabras[155] = 'difficulties,2,1';  palabras[156] = 'difficulty,12,1';  palabras[157] = 'dignity,15,2,8,1,13,1,14,1';  palabras[158] = 'dilapidated,12,2';  palabras[159] = 'diligently,1,1';  palabras[160] = 'diminish,13,1';  palabras[161] = 'dining,8,2,13,1';  palabras[162] = 'diploma,13,2';  palabras[163] = 'direct,14,2,3,1,9,1,12,1,15,1';  palabras[164] = 'directed,14,3,15,3,0,1,3,1,9,1';  palabras[165] = 'direction,3,1,5,1';  palabras[166] = 'directions,14,1';  palabras[167] = 'directives,16,1';  palabras[168] = 'directly,5,3,14,1';  palabras[169] = 'director,16,4';  palabras[170] = 'directors,1,1';  palabras[171] = 'directs,14,1';  palabras[172] = 'disabilities,8,21,12,13,10,4,2,2,13,2,14,2,5,1';  palabras[173] = 'disability,8,6,10,4,2,1,13,1';  palabras[174] = 'disabled,8,50,13,11,12,10,14,9,15,8,0,5,6,2';  palabras[175] = 'disadvantage,14,1,15,1';  palabras[176] = 'disadvantaged,14,2,4,1,13,1,15,1';  palabras[177] = 'disadvantages,14,2';  palabras[178] = 'disarming,14,1';  palabras[179] = 'disbursement,14,1';  palabras[180] = 'discharge,9,5';  palabras[181] = 'discharged,9,1';  palabras[182] = 'disclosure,7,1';  palabras[183] = 'discourage,7,1';  palabras[184] = 'discouraged,13,1';  palabras[185] = 'discrimination,0,2,12,2,6,1';  palabras[186] = 'discriminatory,12,1';  palabras[187] = 'discuss,1,1,3,1,7,1';  palabras[188] = 'discussed,2,2,6,2,12,2,0,1,1,1,8,1,9,1,13,1';  palabras[189] = 'discussion,0,1,2,1,13,1';  palabras[190] = 'discussions,2,1,5,1,9,1,15,1';  palabras[191] = 'disease,8,2';  palabras[192] = 'diseases,6,1,8,1';  palabras[193] = 'disfranchised,15,1';  palabras[194] = 'disinvestment,5,1';  palabras[195] = 'dismal,9,1';  palabras[196] = 'disorders,9,2';  palabras[197] = 'disparate,7,8';  palabras[198] = 'disparities,7,2';  palabras[199] = 'disparity,4,1,7,1';  palabras[200] = 'displacement,12,3,0,1';  palabras[201] = 'disposable,12,1';  palabras[202] = 'disposal,14,1';  palabras[203] = 'disposition,12,1';  palabras[204] = 'disproportionate,12,2';  palabras[205] = 'disrepair,0,1,5,1,12,1';  palabras[206] = 'disruption,12,1';  palabras[207] = 'disseminate,2,1,14,1';  palabras[208] = 'disseminating,2,1';  palabras[209] = 'dissemination,3,1';  palabras[210] = 'distinct,14,3,13,1';  palabras[211] = 'distinctive,14,2,3,1,5,1';  palabras[212] = 'distress,8,6';  palabras[213] = 'distressed,13,5,12,3,14,2,0,1,4,1,5,1,11,1,15,1';  palabras[214] = 'distributed,4,1';  palabras[215] = 'distributing,2,2';  palabras[216] = 'distribution,8,13,10,7,0,5,5,3,1,1,7,1,12,1,13,1,14,1';  palabras[217] = 'distributors,13,1';  palabras[218] = 'district,5,27,13,10,2,9,4,3,12,3,0,1,1,1,7,1,15,1';  palabras[219] = 'districts,13,9,12,5,15,4,7,3,2,2,4,2,5,2,14,2,0,1,1,1,3,1';  palabras[220] = 'districts(new,12,1';  palabras[221] = 'disturbance,5,1';  palabras[222] = 'diverse,5,3,2,2,4,2,9,2,8,1,14,1,15,1';  palabras[223] = 'diversified,5,1';  palabras[224] = 'diversion,9,1';  palabras[225] = 'diversity,4,2,12,1,15,1';  palabras[226] = 'divert,14,1';  palabras[227] = 'divided,13,2,1,1,14,1';  palabras[228] = 'divides,9,1';  palabras[229] = 'dividing,15,1';  palabras[230] = 'divisions,3,1';  palabras[231] = 'dl,11,12';  palabras[232] = 'do,8,8,6,6,13,5,12,3,0,2,4,2,14,2,11,1';  palabras[233] = 'docks,5,1';  palabras[234] = 'document,0,4,2,3,1,2,3,1,16,1';  palabras[235] = 'documentation,16,2,14,1';  palabras[236] = 'documented,7,1';  palabras[237] = 'documents,16,1';  palabras[238] = 'does,6,3,10,2,4,1,7,1,9,1,13,1,14,1';  palabras[239] = 'doing,3,1,15,1';  palabras[240] = 'dollars,14,5,5,3,1,2,6,2,0,1,13,1,15,1';  palabras[241] = 'dolphin,5,1';  palabras[242] = 'dominate,13,1';  palabras[243] = 'domino,5,1';  palabras[244] = 'done,13,4,12,2,0,1,2,1,4,1,5,1,11,1';  palabras[245] = 'door,9,2';  palabras[246] = 'doors,5,2,14,1';  palabras[247] = 'dorsey,5,1';  palabras[248] = 'down,12,7,0,2,5,1,6,1,7,1';  palabras[249] = 'downpayment,6,5';  palabras[250] = 'downs,6,1';  palabras[251] = 'downsized,14,1';  palabras[252] = 'downtown,5,15,9,2,4,1,7,1,13,1';  palabras[253] = 'draft,16,1';  palabras[254] = 'drainage,13,2';  palabras[255] = 'drains,14,2';  palabras[256] = 'dramatic,12,3,0,1,7,1';  palabras[257] = 'dramatically,14,1';  palabras[258] = 'drawing,5,1';  palabras[259] = 'dream,6,3';  palabras[260] = 'drew,3,1';  palabras[261] = 'drifting,12,1';  palabras[262] = 'drive,13,1';  palabras[263] = 'driven,0,1,5,1,14,1';  palabras[264] = 'drop,9,2,7,1,13,1';  palabras[265] = 'dropped,13,2';  palabras[266] = 'drug,15,2,14,1';  palabras[267] = 'drugs,14,1';  palabras[268] = 'dry,5,1';  palabras[269] = 'dually,9,1';  palabras[270] = 'dubbed,5,1';  palabras[271] = 'due,12,7,0,3,4,3,11,3,13,3,7,2,14,2,5,1,8,1,10,1,15,1';  palabras[272] = 'dumping,14,1';  palabras[273] = 'duplexes,5,1';  palabras[274] = 'duplication,1,1,3,1,9,1,14,1';  palabras[275] = 'during,7,8,11,7,2,6,5,3,4,2,12,2,3,1,6,1,9,1,15,1';  palabras[276] = 'dust,11,3';  palabras[277] = 'dustin,5,1';  palabras[278] = 'dwelling,8,2';  palabras[279] = 'dwindling,7,1';  palabras[280] = 'dynamic,12,1';  palabras[281] = 'dynamics,4,1';  
break;
case 'e': 
palabras[0] = 'e,12,29,7,6,13,6,5,2,0,1,3,1,6,1,11,1,14,1';  palabras[1] = 'each,5,8,2,5,7,5,13,4,0,3,16,3,6,2,1,1,8,1,9,1,11,1,12,1,14,1';  palabras[2] = 'earlier,13,2,9,1,12,1';  palabras[3] = 'early,4,2,5,1,7,1,14,1';  palabras[4] = 'earn,6,6,0,1,7,6';  palabras[5] = 'earned,13,1,14,1';  palabras[6] = 'earning,13,4,5,1,8,1,10,1,14,1,15,1';  palabras[7] = 'earnings,13,1';  palabras[8] = 'ears,14,1';  palabras[9] = 'ease,16,1';  palabras[10] = 'easily,5,1';  palabras[11] = 'east,5,44,0,4,13,3,7,2,11,1';  palabras[12] = 'eastern,5,2';  palabras[13] = 'easy,14,1';  palabras[14] = 'eat,11,1';  palabras[15] = 'economic,14,52,15,31,13,25,5,23,0,14,4,14,2,8,3,7,1,6,10,6,7,5,16,4,12,2';  palabras[16] = 'economically,14,2,15,2,4,1';  palabras[17] = 'economy,13,3,4,2,1,1';  palabras[18] = 'ed,15,84';  palabras[19] = 'edge,5,1,13,1';  palabras[20] = 'edgewater,13,1';  palabras[21] = 'edip,7,2';  palabras[22] = 'edison,5,19,7,6,0,3,6,2,11,2,12,1,13,1';  palabras[23] = 'educate,11,1,12,1,13,1';  palabras[24] = 'education,13,14,11,7,12,4,14,3,4,2,5,2,2,1,6,1,7,1,9,1,15,1,16,1';  palabras[25] = 'educational,14,6,13,4,5,2,4,1';  palabras[26] = 'effect,7,2,3,1,14,1,15,1';  palabras[27] = 'effective,15,6,3,2,9,2,1,1,12,1,16,1';  palabras[28] = 'effectively,12,3,7,1,15,6';  palabras[29] = 'effects,5,1,11,1,12,1,14,1';  palabras[30] = 'efficiency,3,1,14,1';  palabras[31] = 'efficient,3,2,1,1,12,1';  palabras[32] = 'efficiently,15,6';  palabras[33] = 'effort,12,5,14,5,3,4,6,2,15,2,0,1,1,1,5,1,11,1';  palabras[34] = 'efforts,9,6,5,5,13,5,12,4,14,4,4,3,3,2,10,2,0,1,16,1';  palabras[35] = 'eight,7,2,10,1,16,1';  palabras[36] = 'either,6,7,12,2,13,2,8,1';  palabras[37] = 'el,5,1';  palabras[38] = 'elderly,8,54,12,28,13,18,15,14,10,10,14,9,0,7,6,3,2,2,5,1';  palabras[39] = 'elected,2,1,14,1';  palabras[40] = 'electrical,14,1';  palabras[41] = 'element,5,2,12,1';  palabras[42] = 'elements,5,1,13,1';  palabras[43] = 'elevated,11,1';  palabras[44] = 'eleven,12,1';  palabras[45] = 'eligibility,6,3,14,3,5,1,8,1,12,1,16,1';  palabras[46] = 'eligible,6,16,8,14,12,8,14,7,0,4,15,3,10,2,1,1,2,1,13,1';  palabras[47] = 'eliminate,13,1';  palabras[48] = 'eliminating,14,1';  palabras[49] = 'elimination,12,2,14,1';  palabras[50] = 'eloquent,3,1';  palabras[51] = 'else,9,1';  palabras[52] = 'emails,2,1';  palabras[53] = 'emanating,1,1';  palabras[54] = 'embraced,1,1,14,1';  palabras[55] = 'emerge,7,1';  palabras[56] = 'emerged,5,1';  palabras[57] = 'emergence,1,3';  palabras[58] = 'emergency,9,6,6,5,12,5,0,2,8,2,1,1,2,1';  palabras[59] = 'emerging,0,1,7,1';  palabras[60] = 'eminent,14,2,3,1,16,1';  palabras[61] = 'emotional,14,1,15,1';  palabras[62] = 'emphasis,13,2,15,2,9,1,14,1';  palabras[63] = 'emphasized,0,1,13,1,15,1';  palabras[64] = 'employ,9,4,13,1,16,1';  palabras[65] = 'employability,9,1,14,1';  palabras[66] = 'employable,14,2,13,1';  palabras[67] = 'employed,8,2,13,2,2,1';  palabras[68] = 'employees,5,2,13,2,14,2,9,1';  palabras[69] = 'employers,14,2,5,1';  palabras[70] = 'employment,15,11,13,10,14,6,5,3,16,3,0,2,4,1';  palabras[71] = 'empower,15,1';  palabras[72] = 'empowering,14,1';  palabras[73] = 'emsa,0,1';  palabras[74] = 'enable,12,2,0,1,8,1,13,1,15,1';  palabras[75] = 'enabled,2,1';  palabras[76] = 'enables,5,1,6,1,10,1';  palabras[77] = 'enabling,15,1';  palabras[78] = 'enact,12,1';  palabras[79] = 'enclave,5,3';  palabras[80] = 'enclaves,4,1';  palabras[81] = 'encompass,5,1,9,1';  palabras[82] = 'encourage,12,7,13,4,2,2,3,2,0,1,11,1,15,1';  palabras[83] = 'encourages,7,1';  palabras[84] = 'encouraging,2,1,12,1,13,1';  palabras[85] = 'encumbrances,12,1';  palabras[86] = 'end,5,2,7,2,9,2,12,2,13,2,2,1';  palabras[87] = 'endanger,12,1';  palabras[88] = 'endeavor,3,2,14,1';  palabras[89] = 'endeavors,14,1';  palabras[90] = 'ending,7,1';  palabras[91] = 'endorse,3,1';  palabras[92] = 'endorsement,14,1';  palabras[93] = 'endorsing,15,1,16,1';  palabras[94] = 'endow,3,1,15,1';  palabras[95] = 'endows,16,1';  palabras[96] = 'energy,14,1';  palabras[97] = 'enforce,16,2,1,1';  palabras[98] = 'enforced,0,1,12,1,16,1';  palabras[99] = 'enforcement,2,13,14,6,3,3,5,2,15,2,0,1,9,1,12,1,16,1';  palabras[100] = 'engage,2,2,9,2,1,1,14,1';  palabras[101] = 'engaged,9,1';  palabras[102] = 'engagement,2,8,9,1';  palabras[103] = 'engages,16,1';  palabras[104] = 'engaging,9,1,13,1';  palabras[105] = 'engines,4,1,5,1';  palabras[106] = 'english,2,3,4,2,12,1';  palabras[107] = 'enhance,15,4,3,3,14,3,0,1';  palabras[108] = 'enhancement,14,9,3,3,9,1';  palabras[109] = 'enhancements,15,2,14,1';  palabras[110] = 'enhancing,13,1,14,1,15,6';  palabras[111] = 'enjoy,14,1';  palabras[112] = 'enjoyed,5,1';  palabras[113] = 'enjoying,5,1';  palabras[114] = 'enormously,8,1';  palabras[115] = 'enrichment,14,1';  palabras[116] = 'enrollment,12,1';  palabras[117] = 'ensure,15,9,16,8,10,6,9,5,12,3,0,2,14,2,6,1,8,1,11,1';  palabras[118] = 'ensures,16,1';  palabras[119] = 'ensuring,14,1';  palabras[120] = 'entail,1,1';  palabras[121] = 'enter,14,1';  palabras[122] = 'entering,13,1';  palabras[123] = 'enterprise,15,7,14,1';  palabras[124] = 'enterprises,14,4,15,2';  palabras[125] = 'entertainment,13,7,5,2';  palabras[126] = 'entire,8,2,6,1,9,1,14,1';  palabras[127] = 'entities,14,5,0,2,3,2,15,1,16,1';  palabras[128] = 'entitlement,15,6,6,4,9,4,14,1,16,1';  palabras[129] = 'entity,14,4';  palabras[130] = 'entrepreneurial,5,1';  palabras[131] = 'entrepreneurship,15,1';  palabras[132] = 'entry,15,3';  palabras[133] = 'enumerations,9,6';  palabras[134] = 'environment,10,8,15,4,14,2,0,1,1,1,6,1,7,1';  palabras[135] = 'environmental,16,11,3,1,12,1';  palabras[136] = 'envisioned,5,4,14,1';  palabras[137] = 'envisions,5,1';  palabras[138] = 'equal,10,6,8,2,1,1,3,1,6,1,11,6';  palabras[139] = 'equipment,15,1';  palabras[140] = 'equity,6,1';  palabras[141] = 'erosion,6,1';  palabras[142] = 'escalating,12,7,7,2,0,1';  palabras[143] = 'escalation,7,1';  palabras[144] = 'esg,1,4,6,3,0,2,2,2,12,1';  palabras[145] = 'especially,7,2,9,2,2,1,5,1,12,1,16,1';  palabras[146] = 'essential,15,4,0,3,1,1';  palabras[147] = 'establish,11,6,1,2,3,1,7,1,8,1,13,1,14,1,16,1';  palabras[148] = 'established,14,4,15,4,3,2,16,2,0,1,5,1,8,1,13,1';  palabras[149] = 'establishes,3,1';  palabras[150] = 'establishing,3,8,5,1,12,1,16,1';  palabras[151] = 'establishments,13,5,2,1,4,1,5,1';  palabras[152] = 'estate,12,9,0,3,7,1';  palabras[153] = 'estimate,2,1,6,1,8,1,10,1';  palabras[154] = 'estimated,8,8,4,4,11,4,5,2,6,2,7,2,9,1,13,1';  palabras[155] = 'estimates,8,2,9,1,11,1';  palabras[156] = 'etc,2,1,12,1';  palabras[157] = 'ethnic,4,8,13,2,5,1,6,1';  palabras[158] = 'ethnically,13,1';  palabras[159] = 'ethnicities,12,2';  palabras[160] = 'ethnicity,8,7,2,1,4,1,10,6';  palabras[161] = 'evaluate,14,1,16,1';  palabras[162] = 'evaluated,2,1,14,1';  palabras[163] = 'evaluation,9,6,11,1,12,1,14,1,16,1';  palabras[164] = 'even,8,10,11,6,4,1,13,1,14,1';  palabras[165] = 'evenly,4,1';  palabras[166] = 'event,10,1,12,1';  palabras[167] = 'events,2,1,14,1';  palabras[168] = 'every,13,1,16,1';  palabras[169] = 'evidence,14,2,7,1,16,1';  palabras[170] = 'evident,4,2,0,1,1,1,7,1,8,1,10,1,12,1';  palabras[171] = 'ex,14,1';  palabras[172] = 'exacerbated,7,1';  palabras[173] = 'examine,4,1';  palabras[174] = 'examines,13,1';  palabras[175] = 'example,13,7,3,1,4,1,5,1,6,1,7,1,14,1';  palabras[176] = 'exceed,7,2,6,1,12,1';  palabras[177] = 'exceeding,7,2';  palabras[178] = 'excelled,15,1';  palabras[179] = 'excellence,14,1';  palabras[180] = 'except,13,1';  palabras[181] = 'exception,5,1,12,1,13,1';  palabras[182] = 'exceptions,6,1';  palabras[183] = 'excess,7,1,16,1';  palabras[184] = 'excessive,7,1';  palabras[185] = 'excluded,16,1';  palabras[186] = 'exclusions,16,1';  palabras[187] = 'exclusively,12,2,0,1,8,1';  palabras[188] = 'execute,3,1,14,1,15,1';  palabras[189] = 'executed,14,2,1,1,15,1';  palabras[190] = 'execution,14,1,16,1';  palabras[191] = 'executive,0,12';  palabras[192] = 'exempt,6,2,12,2,9,1,16,1';  palabras[193] = 'exemption,12,10,13,1';  palabras[194] = 'exemptions,12,3,13,1,16,1';  palabras[195] = 'exercise,14,2';  palabras[196] = 'exercised,2,1,14,1,16,1';  palabras[197] = 'exhibiting,6,1';  palabras[198] = 'exist,13,4,7,2,0,1,1,1,6,1,8,1';  palabras[199] = 'existed,1,1';  palabras[200] = 'existence,7,1';  palabras[201] = 'existing,12,42,7,28,0,10,14,9,10,5,5,4,9,4,6,3,15,3,13,2,11,1';  palabras[202] = 'exists,7,12,13,2,4,1';  palabras[203] = 'exiting,12,1';  palabras[204] = 'expand,12,9,10,6,14,2,15,2,0,1,3,1,5,1,6,1,9,1,13,1';  palabras[205] = 'expanded,5,1';  palabras[206] = 'expanding,15,9,7,1,9,1';  palabras[207] = 'expansion,14,5,5,2,0,1,6,1,15,1';  palabras[208] = 'expectation,7,1';  palabras[209] = 'expected,5,5,1,2,6,1,7,1,14,1,16,3';  palabras[210] = 'expedite,12,6,0,1';  palabras[211] = 'expedited,12,2';  palabras[212] = 'expended,16,1';  palabras[213] = 'expenditure,16,1';  palabras[214] = 'expenditures,16,2,13,1,14,1';  palabras[215] = 'expense,5,1';  palabras[216] = 'expenses,6,2,12,1,16,1';  palabras[217] = 'experience,7,3,12,2,0,1,4,1,9,1';  palabras[218] = 'experienced,7,4,4,3,12,2,8,1';  palabras[219] = 'experiencing,7,8,12,4,9,3,0,1,1,1,15,1';  palabras[220] = 'experts,1,2';  palabras[221] = 'expiring,10,1';  palabras[222] = 'explain,10,1';  palabras[223] = 'explained,16,1';  palabras[224] = 'explains,3,1';  palabras[225] = 'explanation,6,1';  palabras[226] = 'explicit,6,1';  palabras[227] = 'explore,15,6,12,1,14,1,16,1';  palabras[228] = 'exporters,5,1';  palabras[229] = 'exposed,11,1';  palabras[230] = 'exposition,5,1';  palabras[231] = 'exposure,11,17';  palabras[232] = 'express,2,3';  palabras[233] = 'expression,2,1,12,1';  palabras[234] = 'expressway,5,2';  palabras[235] = 'extended,1,1,7,1';  palabras[236] = 'extends,5,2';  palabras[237] = 'extension,14,1';  palabras[238] = 'extensive,16,2,5,1,9,1,10,1';  palabras[239] = 'extent,16,6,14,2,15,2,0,1,9,1,13,1';  palabras[240] = 'exterior,15,1';  palabras[241] = 'extra,12,1';  palabras[242] = 'extraction,6,1,7,1';  palabras[243] = 'extreme,14,1';  palabras[244] = 'extremely,6,22,11,7,10,5,14,3,15,2,9,1,12,1';  palabras[245] = 'eyes,14,1';  palabras[246] = 'recreation,13,1';  palabras[247] = 'rehab,12,1';  palabras[248] = 'rehabilitation,7,1';  
break;
case 'f': 
palabras[0] = 'f,12,18,5,1';  palabras[1] = 'fabric,12,1,14,1';  palabras[2] = 'fabricated,13,3';  palabras[3] = 'fabrics,5,1';  palabras[4] = 'fa&ccedil;ade,13,16,14,4,15,4,5,3,0,1';  palabras[5] = 'face,0,1,12,1,13,1,15,1';  palabras[6] = 'faces,0,1,4,1,12,1,13,1';  palabras[7] = 'facets,13,1,15,1';  palabras[8] = 'facilitate,14,4,12,3,3,2,0,1,5,1,9,1,13,1';  palabras[9] = 'facilitates,3,1';  palabras[10] = 'facilitating,12,2,0,1,3,1,4,1,13,1,15,1';  palabras[11] = 'facilitation,14,1';  palabras[12] = 'facilitator,0,1,15,1';  palabras[13] = 'facilities,15,25,0,14,9,7,5,4,14,4,6,3,8,2,2,1,7,1,11,1';  palabras[14] = 'facility,5,1,9,1,15,1';  palabras[15] = 'facing,9,1,12,1,14,1';  palabras[16] = 'fact,4,3,5,2,9,2,0,1,7,1,12,1,13,1,14,1';  palabras[17] = 'factor,7,2,11,2,4,1,13,1';  palabras[18] = 'factories,5,1';  palabras[19] = 'factors,11,7,7,5,4,3,9,2,13,2,0,1,3,1,6,1,12,1,14,1';  palabras[20] = 'factory,5,1';  palabras[21] = 'fail,13,1';  palabras[22] = 'failing,13,1';  palabras[23] = 'failure,7,2';  palabras[24] = 'fair,12,16,0,8,10,6,4,1,7,1,13,1';  palabras[25] = 'faith,3,1';  palabras[26] = 'fall,10,2,0,1,5,1,12,1,13,1';  palabras[27] = 'fallen,5,1';  palabras[28] = 'falter,4,1';  palabras[29] = 'fame,5,1';  palabras[30] = 'familial,10,1';  palabras[31] = 'familiar,12,1';  palabras[32] = 'families,8,52,12,29,10,25,11,19,14,15,6,12,9,10,13,7,0,5,15,4,3,3,5,2,4,1,7,1';  palabras[33] = 'family,7,89,12,23,14,21,6,16,0,15,8,13,10,9,5,2,13,2,11,1,16,1';  palabras[34] = 'familyhousingstructures,12,1';  palabras[35] = 'familyrentalstructuresthatarevulnerabletodeterioration,12,1';  palabras[36] = 'far,4,1';  palabras[37] = 'fashion,5,4';  palabras[38] = 'fastest,14,1';  palabras[39] = 'favor,7,1,12,1';  palabras[40] = 'favorable,7,1';  palabras[41] = 'favored,5,1';  palabras[42] = 'fear,13,2,2,1';  palabras[43] = 'feasible,16,4,0,1,14,1';  palabras[44] = 'feature,5,1';  palabras[45] = 'features,8,1,12,1';  palabras[46] = 'fec,5,4,13,1';  palabras[47] = 'federal,15,21,6,19,16,12,1,6,0,3,10,3,3,1,4,1,5,1,12,1,13,1,14,1';  palabras[48] = 'fee,12,6';  palabras[49] = 'feeding,12,2';  palabras[50] = 'feedings,9,6';  palabras[51] = 'feel,5,1';  palabras[52] = 'fees,6,1,7,1,12,1';  palabras[53] = 'feet,5,5,7,1';  palabras[54] = 'female,8,4,6,2,13,1';  palabras[55] = 'fertile,5,1';  palabras[56] = 'few,7,1,13,1,14,1';  palabras[57] = 'fewer,13,1,14,1';  palabras[58] = 'fh,12,18';  palabras[59] = 'fha,7,2';  palabras[60] = 'fhmc,12,1';  palabras[61] = 'fields,5,1';  palabras[62] = 'fifirst,6,1';  palabras[63] = 'fifive,9,1';  palabras[64] = 'fifteen,2,1';  palabras[65] = 'fight,13,1';  palabras[66] = 'figure,6,1';  palabras[67] = 'figures,12,2,7,1';  palabras[68] = 'fill,3,1,4,1,5,1,7,1,10,1';  palabras[69] = 'final,16,2,0,1';  palabras[70] = 'finalized,16,1';  palabras[71] = 'finally,0,1,5,1,6,1,12,1,16,1';  palabras[72] = 'finance,12,9,6,3,16,2,4,1,14,1';  palabras[73] = 'financed,6,1,14,1';  palabras[74] = 'financial,14,9,8,6,12,6,15,5,3,4,16,4,7,3,0,1,13,1';  palabras[75] = 'financially,15,1';  palabras[76] = 'financing,12,17,6,3,7,2,0,1,14,1';  palabras[77] = 'find,13,2,9,1';  palabras[78] = 'finding,7,78,6,49,13,44,8,24,1,1';  palabras[79] = 'findings,0,9,7,8,8,6,11,6,6,5,12,2,13,2,5,1,14,1,16,1';  palabras[80] = 'findings",7,1';  palabras[81] = 'finished,9,1';  palabras[82] = 'fire,14,1';  palabras[83] = 'firm,12,2,0,1,15,1';  palabras[84] = 'firms,13,3,14,2,15,2,1,1';  palabras[85] = 'first,5,8,9,8,12,4,4,2,6,2,0,1,2,1,7,1,13,1';  palabras[86] = 'fiscal,16,4,10,1,14,1';  palabras[87] = 'fitness,14,1';  palabras[88] = 'fiu,7,1';  palabras[89] = 'five,12,11,11,8,0,7,5,6,14,6,3,5,8,5,13,5,1,3,4,3,10,3,6,2,16,2,2,1,9,1,15,1';  palabras[90] = 'fix,0,1';  palabras[91] = 'fixed,7,1,14,1';  palabras[92] = 'flagami,7,1';  palabras[93] = 'flagler,5,10';  palabras[94] = 'flair,5,1,13,1';  palabras[95] = 'flakes,11,1';  palabras[96] = 'flanked,7,1';  palabras[97] = 'flexibility,12,1';  palabras[98] = 'flood,14,3';  palabras[99] = 'floors,5,1';  palabras[100] = 'florida,6,7,5,6,9,3,7,1,10,1,12,1';  palabras[101] = 'flow,4,2,9,1';  palabras[102] = 'flowchart,16,1';  palabras[103] = 'flyers,2,1';  palabras[104] = 'fnma,12,1';  palabras[105] = 'focal,5,1,14,1';  palabras[106] = 'focus,12,9,13,6,0,5,5,3,14,3,3,2,15,2,1,1,2,1,9,1,11,1,16,1';  palabras[107] = 'focuses,0,3,13,3,5,1,6,1,12,1,14,1,15,1';  palabras[108] = 'focusing,5,2,13,2,1,1';  palabras[109] = 'folklife,5,4,13,1';  palabras[110] = 'follow,9,7,12,1';  palabras[111] = 'followed,6,3,1,2,8,2,0,1,3,1,5,1';  palabras[112] = 'following,5,11,0,8,6,8,13,8,11,7,14,7,9,6,12,5,2,4,7,4,8,4,1,2,10,2,16,2,3,1,4,1';  palabras[113] = 'follows,5,1,12,1';  palabras[114] = 'food,5,2,14,1';  palabras[115] = 'foot,5,2';  palabras[116] = 'footage,7,1';  palabras[117] = 'footprints,5,1';  palabras[118] = 'for,12,175,6,91,5,76,14,76,13,68,0,54,8,50,7,42,15,41,9,30,11,29,16,29,2,25,3,24,10,21,1,18,4,8';  palabras[119] = 'force,13,11,4,8,12,1,14,1,15,1';  palabras[120] = 'forces,14,1';  palabras[121] = 'forecast,0,1,7,1,8,1';  palabras[122] = 'foreclosure,12,1';  palabras[123] = 'foreclosures,7,1';  palabras[124] = 'foreign,4,7,12,1';  palabras[125] = 'foremost,16,1';  palabras[126] = 'forge,13,1';  palabras[127] = 'form,12,3,14,3,6,2,16,2,2,1,13,1';  palabras[128] = 'formal,16,1';  palabras[129] = 'format,1,1';  palabras[130] = 'formed,7,1';  palabras[131] = 'former,5,3,6,1';  palabras[132] = 'formerly,9,2';  palabras[133] = 'forms,0,1,2,1,5,1,13,1,14,1';  palabras[134] = 'formula,0,5,1,4,6,4,8,1,13,1,14,1';  palabras[135] = 'formulation,7,1';  palabras[136] = 'forth,14,3,0,1,3,1,6,1,16,1';  palabras[137] = 'forthcoming,3,1,16,1';  palabras[138] = 'fortify,3,1';  palabras[139] = 'forty,8,1';  palabras[140] = 'forward,16,1';  palabras[141] = 'foster,1,1,5,1,13,1,14,1';  palabras[142] = 'fostered,3,1';  palabras[143] = 'fostering,1,2';  palabras[144] = 'found,7,8,11,4,12,4,13,4,0,3,9,2,5,1,10,1';  palabras[145] = 'foundation,5,3,6,1';  palabras[146] = 'foundations,0,1,5,1,12,1';  palabras[147] = 'four,5,3,6,3,12,2,0,1,9,1';  palabras[148] = 'fourth,8,2,0,1';  palabras[149] = 'fragmentation,3,1';  palabras[150] = 'fragmented,5,1';  palabras[151] = 'frail,14,1';  palabras[152] = 'frame,15,1';  palabras[153] = 'framework,1,4,3,1,5,1';  palabras[154] = 'franchises,14,1';  palabras[155] = 'franklin,5,1';  palabras[156] = 'free,11,2,15,1';  palabras[157] = 'frequent,16,1';  palabras[158] = 'frequently,13,1';  palabras[159] = 'freshest,5,1';  palabras[160] = 'friendly,5,1,12,1';  palabras[161] = 'friends,8,2,13,1';  palabras[162] = 'from,5,29,7,15,6,12,2,10,4,10,13,10,9,9,12,9,11,5,0,4,3,4,8,3,10,2,14,2,16,2,1,1';  palabras[163] = 'front,0,1,9,1,15,1';  palabras[164] = 'frontage,5,1';  palabras[165] = 'fruits,5,1';  palabras[166] = 'frustrated,13,1';  palabras[167] = 'fuel,6,2';  palabras[168] = 'fulfill,7,1,15,1';  palabras[169] = 'full,5,2,3,1,10,1,13,1';  palabras[170] = 'fully,5,1,9,1,12,1';  palabras[171] = 'function,6,1,10,1,13,1';  palabras[172] = 'functioning,0,1,7,1,15,1';  palabras[173] = 'functions,0,1,14,1';  palabras[174] = 'fund,12,4,6,3,15,2';  palabras[175] = 'funded,14,6,12,4,16,4,6,3,8,3,0,2,2,2,5,1,15,1';  palabras[176] = 'funders,9,2';  palabras[177] = 'funding,12,26,15,23,14,20,6,17,11,12,1,5,3,5,13,5,0,4,2,3,9,3,16,2,5,1';  palabras[178] = 'funds,14,20,6,19,15,19,12,10,13,5,0,4,1,4,2,4,9,4,16,4,3,1,10,1';  palabras[179] = 'furnishings,5,1';  palabras[180] = 'furniture,13,3,5,1';  palabras[181] = 'further,10,6,14,4,5,3,4,2,0,1,3,1,6,1,12,1,13,1';  palabras[182] = 'furtherance,16,1';  palabras[183] = 'furthermore,12,5,14,4,13,3,4,1';  palabras[184] = 'future,5,6,1,4,14,3,2,1,8,1,15,1,16,1';  palabras[185] = 'fy,10,2';  palabras[186] = 'fy2004,6,1';  
break;
case 'g': 
palabras[0] = 'g,11,12,12,9,7,6,0,1';  palabras[1] = 'gables,7,2';  palabras[2] = 'gains,7,1';  palabras[3] = 'galleries,5,3';  palabras[4] = 'gallery,5,1';  palabras[5] = 'gang,14,1';  palabras[6] = 'gap,8,9,7,5,0,1,6,1,9,5';  palabras[7] = 'gaps,7,9,3,3,0,2,9,2,15,1';  palabras[8] = 'gaps",7,1';  palabras[9] = 'garage,5,2';  palabras[10] = 'garden,5,1';  palabras[11] = 'gardens,5,1';  palabras[12] = 'garment,5,5';  palabras[13] = 'garner,13,1';  palabras[14] = 'gateway,5,1';  palabras[15] = 'gather,8,1';  palabras[16] = 'gathering,2,1';  palabras[17] = 'gatherings,5,1';  palabras[18] = 'gave,2,1,4,1';  palabras[19] = 'geared,14,1';  palabras[20] = 'ged,9,1';  palabras[21] = 'gender,8,1';  palabras[22] = 'general,6,19,12,7,14,7,1,3,5,2,0,1,2,1,4,1,8,1,9,1,10,1,13,1,15,1';  palabras[23] = 'generally,13,4,7,2,5,1';  palabras[24] = 'generate,14,1';  palabras[25] = 'generated,16,1';  palabras[26] = 'generating,12,1';  palabras[27] = 'generations,5,1';  palabras[28] = 'gentrification,12,5,5,4,0,1,13,1';  palabras[29] = 'gentrified,5,1';  palabras[30] = 'geographic,8,21,0,7,12,7,10,6,5,4,1,1,3,1,7,1,9,1';  palabras[31] = 'geographical,6,1,8,1';  palabras[32] = 'germinate,14,1';  palabras[33] = 'gerstein,5,1';  palabras[34] = 'gets,14,1';  palabras[35] = 'getting,14,1';  palabras[36] = 'gis,5,1';  palabras[37] = 'give,16,2,2,1,12,1';  palabras[38] = 'given,12,9,6,6,13,5,5,4,11,3,16,2,0,1,3,1,4,1,8,1,9,1,15,1';  palabras[39] = 'giver,14,1';  palabras[40] = 'gives,5,1,13,1';  palabras[41] = 'giving,12,1,14,1';  palabras[42] = 'global,13,2,5,1';  palabras[43] = 'go,1,1,9,1,16,1';  palabras[44] = 'goal,12,6,14,4,5,3,0,2,3,2,6,2,10,2,13,2,16,2,8,1';  palabras[45] = 'goals,10,8,3,6,12,5,0,3,1,3,14,3,2,1,6,1,9,1,15,1,16,1';  palabras[46] = 'goes,14,1';  palabras[47] = 'going,9,3';  palabras[48] = 'gold,5,1';  palabras[49] = 'gone,7,1';  palabras[50] = 'good,5,3,3,2,12,1,15,1';  palabras[51] = 'goods,13,2';  palabras[52] = 'goodwill,5,5';  palabras[53] = 'govern,12,2';  palabras[54] = 'government,13,11,12,10,2,7,1,4,6,3,14,3,3,2,4,2,5,2,0,1,15,1';  palabras[55] = 'governmental,3,1,5,1';  palabras[56] = 'governments,0,1,5,1,6,1,9,1,12,1,13,1';  palabras[57] = 'grace,8,1';  palabras[58] = 'grade,13,2,5,1,12,1';  palabras[59] = 'graduate,13,1';  palabras[60] = 'graduates,13,1';  palabras[61] = 'graffiti,14,1';  palabras[62] = 'grand,5,9,14,1';  palabras[63] = 'grant,15,24,6,9,2,6,11,6,0,5,1,5,5,2,14,2,8,1,12,1,16,1';  palabras[64] = 'grantee,14,1';  palabras[65] = 'grants,13,9,3,3,12,3,15,3,6,2,14,2,0,1,16,1';  palabras[66] = 'grasp,13,1';  palabras[67] = 'grass,14,1';  palabras[68] = 'great,4,4,13,3,5,1';  palabras[69] = 'greater,11,6,12,5,7,3,13,3,3,2,5,1,6,1,15,1';  palabras[70] = 'greatest,13,5,16,5,4,3,7,3,11,3,0,2,14,2,5,1,8,1,10,1,12,1,15,1';  palabras[71] = 'green,14,1';  palabras[72] = 'greenways,5,1';  palabras[73] = 'grew,7,2,4,1,13,1';  palabras[74] = 'grocery,13,1';  palabras[75] = 'gross,6,2,7,2';  palabras[76] = 'ground,4,1,5,1';  palabras[77] = 'group,6,7,10,7,5,6,8,5,3,3,7,1,11,1,14,1';  palabras[78] = 'groups,8,8,5,3,12,3,2,2,6,2,15,2,0,1,1,1,7,1,9,1,10,1,13,1,14,1';  palabras[79] = 'grove,5,20,6,5,13,5,0,4,7,4,11,1,12,1,14,1';  palabras[80] = 'grow,4,1,14,1';  palabras[81] = 'growing,6,6,12,3,13,2,0,1,4,1,5,1,14,1,15,1';  palabras[82] = 'grown,4,1,14,1';  palabras[83] = 'growth,4,12,13,8,5,7,7,7,14,7,0,2,15,2,12,1';  palabras[84] = 'guarantee,6,5,12,2,13,2';  palabras[85] = 'guaranteed,14,1';  palabras[86] = 'guarantees,6,4,14,2,15,1';  palabras[87] = 'guide,1,2,3,2,12,2,0,1,5,1,7,1,14,1,15,1';  palabras[88] = 'guided,0,1,1,1';  palabras[89] = 'guidelines,16,3,2,2,0,1,12,1';  palabras[90] = 'guides,7,1';  palabras[91] = 'guiding,1,7,5,1,6,1,16,1';  
break;
case 'h': 
palabras[0] = 'h,12,9';  palabras[1] = 'ha,12,24,10,3';  palabras[2] = 'had,8,11,9,6,2,5,6,5,5,3,12,2,0,1,1,1,4,1,13,1';  palabras[3] = 'hailed,5,1';  palabras[4] = 'hair,5,1';  palabras[5] = 'haiti,5,22,7,7,0,5,13,5,6,2,11,2,4,1,8,1,10,1,12,1';  palabras[6] = 'haitian,5,2,13,1';  palabras[7] = 'haitians,11,1';  palabras[8] = 'half,6,15,13,5,8,4,12,3,4,2,0,1,5,1,9,1,10,1,14,1';  palabras[9] = 'handicapped,12,1,15,1';  palabras[10] = 'hands,1,1';  palabras[11] = 'happens,8,2';  palabras[12] = 'harbor,14,1';  palabras[13] = 'hard,12,3,2,1,6,1,8,1';  palabras[14] = 'hardships,1,1,15,1';  palabras[15] = 'harmful,11,1';  palabras[16] = 'harmony,3,1,14,1';  palabras[17] = 'has,5,22,4,14,14,12,7,11,11,8,12,8,9,7,13,6,0,5,3,3,6,2,10,2,15,2,1,1,16,1';  palabras[18] = 'havana,5,39,7,13,0,9,8,9,13,6,6,5,12,4,11,3';  palabras[19] = 'have,7,32,13,32,6,30,8,22,5,19,12,18,9,12,4,9,0,8,11,7,14,7,1,6,10,3,15,3,2,1,16,1';  palabras[20] = 'haven,12,3,9,2,15,1';  palabras[21] = 'havens,9,2,5,1';  palabras[22] = 'having,0,2,7,2,2,1,11,1';  palabras[23] = 'hazard,11,39,12,3';  palabras[24] = 'hazards,11,60,0,16,12,4,6,2';  palabras[25] = 'hd,12,93';  palabras[26] = 'he,14,1';  palabras[27] = 'head,15,7,14,4,0,1,6,1';  palabras[28] = 'headed,6,3,13,1';  palabras[29] = 'heads,8,7,6,4';  palabras[30] = 'health,11,26,14,9,15,8,12,5,0,3,9,3,13,3,1,1,3,1,4,1,6,1';  palabras[31] = 'healthcare,14,1';  palabras[32] = 'healthy,15,2';  palabras[33] = 'hearing,2,3,0,1,14,1';  palabras[34] = 'hearings,2,39,15,4,14,3,0,2,3,1,9,1';  palabras[35] = 'heart,5,6';  palabras[36] = 'heating,6,1';  palabras[37] = 'heightened,13,1';  palabras[38] = 'held,2,9,14,3,3,1,15,1';  palabras[39] = 'help,12,17,5,8,0,6,13,5,14,4,7,3,16,3,4,2,15,2,1,1,2,1,8,1';  palabras[40] = 'helped,1,2';  palabras[41] = 'helping,7,1,12,1';  palabras[42] = 'helps,12,1,13,1,15,1';  palabras[43] = 'hence,5,1';  palabras[44] = 'her,8,1';  palabras[45] = 'here,5,2';  palabras[46] = 'heritage,13,2';  palabras[47] = 'hesitant,13,1';  palabras[48] = 'hialeah,5,1,7,1,8,1,14,1';  palabras[49] = 'high,13,14,12,13,7,12,11,11,9,6,4,4,5,4,8,4,15,2,0,1,2,1,3,1,6,1,10,1,14,1';  palabras[50] = 'higher,7,7,8,7,11,6,6,2,10,2,16,2,0,1,4,1,12,1,13,1';  palabras[51] = 'highest,7,13,0,7,11,6,8,5,12,4,5,3,6,3,13,3,4,2,2,1,9,1,15,1';  palabras[52] = 'highly,9,1';  palabras[53] = 'highway,5,1';  palabras[54] = 'hipic,8,11,4,6,6,6,7,2,9,1';  palabras[55] = 'hipics,4,5,7,3,8,1';  palabras[56] = 'hire,11,6';  palabras[57] = 'hired,16,1';  palabras[58] = 'hiring,12,1';  palabras[59] = 'his,14,2,2,1,8,1';  palabras[60] = 'hispanic,10,4,11,1,13,1';  palabras[61] = 'hispanics,10,1,11,1,13,1';  palabras[62] = 'historic,13,17,15,15,0,8,5,8,14,8,12,2';  palabras[63] = 'historical,7,2,15,2,0,1,14,1';  palabras[64] = 'historically,5,1';  palabras[65] = 'history,5,4,0,2,14,2,9,1,12,1,15,1,16,3';  palabras[66] = 'hiv,8,47,12,16,0,4,2,1,5,1,14,1';  palabras[67] = 'hmda,7,1';  palabras[68] = 'ho,12,57';  palabras[69] = 'holders,10,2';  palabras[70] = 'holding,10,1';  palabras[71] = 'holistic,5,10,14,7,1,3,0,2,3,1,12,1';  palabras[72] = 'home,12,21,6,13,7,10,16,7,0,6,11,6,1,5,5,4,14,4,2,3,13,3,4,2';  palabras[73] = 'homebound,13,1';  palabras[74] = 'homebuyer,7,13,12,8,0,7,6,2';  palabras[75] = 'homebuyers,12,5,7,2,0,1';  palabras[76] = 'homeless,9,154,12,24,6,7,3,3,0,1,1,1,14,1,16,1';  palabras[77] = 'homelessness,9,22,12,4,8,2,3,1,5,1,6,1';  palabras[78] = 'homeowner,12,21,0,6,6,2';  palabras[79] = 'homeowner(s,12,1';  palabras[80] = 'homeowners,12,33,0,4';  palabras[81] = 'homeownership,12,56,0,12,6,12,8,9,5,3,10,3,7,2,1,1,3,1,15,1,16,1';  palabras[82] = 'homes,7,9,12,7,11,6,0,5,5,5,13,1,14,1';  palabras[83] = 'honduras,4,1';  palabras[84] = 'honesty,1,1';  palabras[85] = 'hopes,13,1';  palabras[86] = 'hopkins,5,1';  palabras[87] = 'hopwa,2,18,12,12,8,7,6,6,0,5,1,4';  palabras[88] = 'horizons,5,1';  palabras[89] = 'hosing,10,1';  palabras[90] = 'hospital,9,5';  palabras[91] = 'hospitals,9,2';  palabras[92] = 'hotel,5,1';  palabras[93] = 'hour,15,1';  palabras[94] = 'hours,9,12';  palabras[95] = 'house,5,3,11,1';  palabras[96] = 'housed,9,1';  palabras[97] = 'household,6,44,8,12,7,10,10,3,12,3,5,2,0,1,14,1';  palabras[98] = 'householder,6,1';  palabras[99] = 'householders,6,10,8,2';  palabras[100] = 'households,6,166,8,27,10,22,12,18,7,15,11,12,0,11,13,8,4,2,5,1,14,1,15,1';  palabras[101] = 'households",6,1,10,1';  palabras[102] = 'housekeeping,8,1';  palabras[103] = 'houses,5,2';  palabras[104] = 'housing,12,347,6,185,7,161,10,132,8,114,0,110,9,31,11,22,15,20,5,18,3,17,14,16,2,12,1,11,13,9,16,8,4,1';  palabras[105] = 'housing",7,1';  palabras[106] = 'how,2,4,4,1,5,1,10,1,13,1,14,1';  palabras[107] = 'however,13,6,7,5,5,3,6,3,8,3,12,3,9,2,10,2,14,2,4,1';  palabras[108] = 'hp,15,9';  palabras[109] = 'hub,5,1';  palabras[110] = 'hud,14,14,6,11,1,9,12,9,16,9,15,7,0,6,11,6,2,5,8,5,5,3,7,3,10,3,9,2,3,1,13,1';  palabras[111] = 'human,14,5,3,2,6,1,13,1';  palabras[112] = 'hundreds,5,2';  
break;
case 'i': 
palabras[0] = 'i,5,14,1,13,12,12,13,5,3,1,6,1,11,1';  palabras[1] = 'idea,5,2';  palabras[2] = 'ideally,13,2';  palabras[3] = 'ideas,15,1';  palabras[4] = 'identical,14,1';  palabras[5] = 'identification,3,1,6,1';  palabras[6] = 'identified,8,12,14,8,0,3,2,3,7,3,15,3,16,3,1,1,3,1,5,1,10,1,12,1,13,1';  palabras[7] = 'identifies,3,1,9,1,12,1,13,1,14,1';  palabras[8] = 'identify,6,6,12,5,0,4,1,2,5,2,2,1,3,1,9,1,14,1,15,1,16,1';  palabras[9] = 'identifying,11,6,15,2,16,2,14,1';  palabras[10] = 'ideology,14,1';  palabras[11] = 'if,15,16,8,9,13,5,14,5,5,4,6,3,9,3,12,2';  palabras[12] = 'ii,2,12,1,2,12,1';  palabras[13] = 'iii,3,12,9,3,1,2,12,1';  palabras[14] = 'ill,9,5';  palabras[15] = 'illegal,14,3,12,2';  palabras[16] = 'illiteracy,5,1';  palabras[17] = 'illness,9,1';  palabras[18] = 'illustrate,0,1';  palabras[19] = 'illustrates,14,1';  palabras[20] = 'illustrating,0,1,12,1';  palabras[21] = 'illustration,0,1,1,8';  palabras[22] = 'image,7,1';  palabras[23] = 'immediately,5,1,14,1';  palabras[24] = 'immigrants,4,6,7,3,5,2,9,1';  palabras[25] = 'immigration,4,7,7,1';  palabras[26] = 'immunodeficiency,6,1,8,1';  palabras[27] = 'impact,12,9,5,4,7,2,16,2,0,1,4,1,6,1,13,1,14,1';  palabras[28] = 'impacted,9,3,14,2,15,1';  palabras[29] = 'impacting,0,1,7,1,14,1,15,1';  palabras[30] = 'impaired,2,1';  palabras[31] = 'impeded,13,1';  palabras[32] = 'impediment,6,1,7,1';  palabras[33] = 'impediments,3,1,12,1';  palabras[34] = 'imperative,13,2,4,1';  palabras[35] = 'implement,14,6,9,3,12,2,0,1,5,1,10,1,13,1,16,1';  palabras[36] = 'implementation,14,3,12,2,15,2,2,1,3,1,7,1,16,1';  palabras[37] = 'implemented,2,2,3,1,9,1,10,1,12,1,14,1';  palabras[38] = 'implementing,13,3,7,1,12,1';  palabras[39] = 'implications,14,1';  palabras[40] = 'implies,14,1';  palabras[41] = 'importance,5,2,0,1,13,1,15,1';  palabras[42] = 'important,13,12,7,4,4,3,12,3,5,2,14,2,15,2,0,1,2,1,6,1,8,1,11,1';  palabras[43] = 'impoverished,14,1';  palabras[44] = 'improve,10,14,12,12,15,10,0,4,9,4,13,4,4,3,5,3,14,3,2,1,6,1,7,1,16,1';  palabras[45] = 'improved,10,6,15,2,0,1,5,1,12,1';  palabras[46] = 'improvement,15,11,14,9,13,4,5,2,12,2';  palabras[47] = 'improvements,13,38,5,19,15,15,14,8,0,7,2,7,12,4,3,3,7,2';  palabras[48] = 'improving,13,6,3,1,5,1,8,1,12,1,14,1,15,1';  palabras[49] = 'in,12,168,7,163,13,139,5,112,14,95,11,93,6,89,8,88,0,87,15,64,4,47,9,47,10,38,3,37,2,36,16,34,1,32';  palabras[50] = 'inadequate,14,2,6,1';  palabras[51] = 'inc,5,1,7,1';  palabras[52] = 'incarceration,9,4';  palabras[53] = 'incentive,6,2,12,2,13,2,7,1,14,1';  palabras[54] = 'incentives,12,15,0,4,13,3,7,2,5,1,14,1';  palabras[55] = 'incentize,5,1';  palabras[56] = 'inception,9,1';  palabras[57] = 'incidence,11,6,9,1,14,1';  palabras[58] = 'incidents,11,6';  palabras[59] = 'inclined,14,1';  palabras[60] = 'include,5,8,9,8,12,7,6,6,15,6,0,5,13,5,8,4,14,3,3,2,1,1,2,1,10,1,11,1';  palabras[61] = 'included,2,3,0,1,3,1,5,1,6,1,14,1';  palabras[62] = 'includes,8,2,0,1,5,1,7,1,9,1,13,1,14,1,16,1';  palabras[63] = 'including,7,8,6,7,13,6,2,5,10,5,9,4,12,4,5,3,16,3,1,2,8,2,14,2,0,1,4,1,11,1,15,1';  palabras[64] = 'inclusion,14,1';  palabras[65] = 'inclusive,3,1';  palabras[66] = 'income,6,110,12,54,14,47,7,42,8,26,15,25,0,16,10,15,11,13,13,10,2,4,4,4,3,3,5,3,1,2,9,2,16,2';  palabras[67] = 'incomes,8,27,6,21,7,3,10,3,0,2,5,2,12,2,14,1';  palabras[68] = 'incorporate,3,1,9,1';  palabras[69] = 'incorporated,9,1,13,1';  palabras[70] = 'incorporation,3,1';  palabras[71] = 'increase,12,53,7,27,10,20,9,12,8,10,0,7,13,4,6,3,14,3,15,3,16,3,4,2,2,1,3,1';  palabras[72] = 'increased,8,7,7,5,4,2,12,2,16,2';  palabras[73] = 'increases,7,1,11,1';  palabras[74] = 'increasing,3,3,12,3,0,1,5,1,6,1,13,1,14,1';  palabras[75] = 'increasingly,4,1';  palabras[76] = 'incrementally,3,1';  palabras[77] = 'incubators,15,1';  palabras[78] = 'incur,8,6';  palabras[79] = 'indeed,4,2,13,2,5,1,12,1';  palabras[80] = 'independence,14,1,15,1';  palabras[81] = 'independency,10,7';  palabras[82] = 'independent,6,1,13,1';  palabras[83] = 'independently,8,2';  palabras[84] = 'index,7,2,4,1';  palabras[85] = 'indicate,6,6,11,6,9,3,8,2,0,1,12,1,13,1';  palabras[86] = 'indicated,7,1,9,1,12,1,13,1';  palabras[87] = 'indicates,7,5,13,4,15,2,4,1,6,1,9,1,10,1,11,1';  palabras[88] = 'indicating,13,1';  palabras[89] = 'indicator,6,2,13,1';  palabras[90] = 'indicators,0,1,15,1';  palabras[91] = 'indigent,1,1,9,1,14,1';  palabras[92] = 'individual,3,2,9,1,12,1,13,1,14,1,15,1';  palabras[93] = 'individuals,13,19,9,17,12,16,8,7,10,7,2,4,15,4,3,2,6,2,14,2,0,1,1,1';  palabras[94] = 'industrial,5,15,13,11,14,5,15,6';  palabras[95] = 'industries,13,21,4,14,5,1';  palabras[96] = 'industry,13,6,5,1,15,1';  palabras[97] = 'inexpensive,15,1';  palabras[98] = 'inexperienced,3,1';  palabras[99] = 'infected,14,1';  palabras[100] = 'infill,12,6,5,3,0,1,8,1';  palabras[101] = 'inflow,7,1';  palabras[102] = 'influence,7,1';  palabras[103] = 'influenced,7,1';  palabras[104] = 'influx,5,2,7,1,13,1';  palabras[105] = 'inform,2,1,3,1,5,1';  palabras[106] = 'informal,13,1';  palabras[107] = 'information,2,15,16,6,3,4,8,4,5,3,12,3,13,2,14,2,1,1,4,1,9,1,10,1';  palabras[108] = 'infrastructure,13,19,7,18,5,11,14,8,15,7,0,4,12,3,1,1,2,1';  palabras[109] = 'infrastructures,15,1';  palabras[110] = 'infusion,5,1';  palabras[111] = 'inhabitants,4,1';  palabras[112] = 'inherited,0,1,15,1';  palabras[113] = 'initial,5,2,12,1';  palabras[114] = 'initiate,14,1';  palabras[115] = 'initiative,14,18,1,8,5,3,6,3,12,3,0,1,9,1,10,1,13,1,16,1';  palabras[116] = 'initiatives,14,5,6,3,12,3,3,2,0,1,1,1,5,1,9,1,16,3';  palabras[117] = 'inject,14,1';  palabras[118] = 'injected,3,1';  palabras[119] = 'injecting,14,1';  palabras[120] = 'inner,5,1,15,1';  palabras[121] = 'innovative,2,1,15,6';  palabras[122] = 'input,2,4,0,1,3,1,9,1,12,1,15,1';  palabras[123] = 'inspect,11,1';  palabras[124] = 'inspecting,16,1';  palabras[125] = 'inspection,12,1';  palabras[126] = 'inspections,11,2';  palabras[127] = 'inspectors,16,2';  palabras[128] = 'inspects,10,1';  palabras[129] = 'instability,4,1';  palabras[130] = 'installation,15,1';  palabras[131] = 'instance,14,1';  palabras[132] = 'instead,14,1';  palabras[133] = 'instill,9,1';  palabras[134] = 'institute,3,1,4,1,12,1';  palabras[135] = 'instituted,12,1';  palabras[136] = 'institutional,3,19,13,2,7,1';  palabras[137] = 'institutionalization,9,1';  palabras[138] = 'institutions,7,2,9,2,0,1,3,1,13,1';  palabras[139] = 'instructions,2,1';  palabras[140] = 'instrument,0,1';  palabras[141] = 'insufficient,0,1,15,1';  palabras[142] = 'insular,4,1';  palabras[143] = 'insurance,9,1,11,1,13,1';  palabras[144] = 'insure,7,1,15,1';  palabras[145] = 'integrate,12,2,4,1,5,1,11,1,14,1,15,1';  palabras[146] = 'integrating,15,1';  palabras[147] = 'integration,11,5';  palabras[148] = 'intelligence,11,6';  palabras[149] = 'intended,2,2,7,2,12,2,6,1,8,1,9,1,14,1,16,1';  palabras[150] = 'intensive,9,1,12,1';  palabras[151] = 'intent,12,3,5,2,6,1,8,1,13,1,14,1,15,1,16,1';  palabras[152] = 'intention,0,1';  palabras[153] = 'inter,14,1';  palabras[154] = 'interact,9,1';  palabras[155] = 'interaction,9,1';  palabras[156] = 'interagency,1,1';  palabras[157] = 'interdepartmental,3,2,1,1';  palabras[158] = 'interest,14,3,7,2,12,2,0,1,1,1,4,1,6,1,15,6';  palabras[159] = 'interested,2,2,0,1,3,1,12,1,13,1,15,1';  palabras[160] = 'interesting,9,1';  palabras[161] = 'interestingly,13,2';  palabras[162] = 'interests,12,1';  palabras[163] = 'interim,12,2';  palabras[164] = 'interior,5,2';  palabras[165] = 'internal,16,1';  palabras[166] = 'international,5,1';  palabras[167] = 'internet,5,1,16,1';  palabras[168] = 'interpretation,2,1';  palabras[169] = 'interpreted,14,1';  palabras[170] = 'interpreter,2,2';  palabras[171] = 'intersections,5,1';  palabras[172] = 'interstate,5,3';  palabras[173] = 'intervention,9,4,12,1,14,1';  palabras[174] = 'into,5,7,9,7,14,7,11,6,3,5,1,3,13,3,15,3,4,2,12,2,6,1,7,1,10,1,16,1';  palabras[175] = 'introduced,1,1,5,1';  palabras[176] = 'introduction,1,12,14,1';  palabras[177] = 'invaluable,0,1,5,1,15,1';  palabras[178] = 'inventory,7,21,8,13,10,7,6,6,12,5,5,4,0,3,9,2';  palabras[179] = 'invest,7,1,13,1,14,1';  palabras[180] = 'investigate,16,1';  palabras[181] = 'investigation,12,1';  palabras[182] = 'investing,13,4';  palabras[183] = 'investment,12,15,7,12,13,8,5,5,0,4,14,4,6,2,15,2,1,1,2,1';  palabras[184] = 'investments,13,4,12,1,14,1,15,6';  palabras[185] = 'investors,13,6,0,3,12,2,15,2,6,1';  palabras[186] = 'invited,12,1';  palabras[187] = 'invoices,16,1';  palabras[188] = 'involve,2,1,13,1';  palabras[189] = 'involved,3,6,1,1,2,1,8,1,14,1,16,1';  palabras[190] = 'involvement,2,4,15,3,0,2,1,1,5,1,14,1';  palabras[191] = 'involves,14,1';  palabras[192] = 'is,5,95,13,81,7,61,6,59,14,52,12,40,4,36,8,34,0,33,9,29,16,19,10,15,15,14,11,12,1,9,2,9,3,9';  palabras[193] = 'isolated,13,1';  palabras[194] = 'isolation,15,2,2,1,6,1,13,1';  palabras[195] = 'issue,11,6,13,3';  palabras[196] = 'issued,6,1,7,1';  palabras[197] = 'issues,12,4,0,3,1,3,7,3,2,2,5,2,6,1,13,1,14,1,16,3';  palabras[198] = 'issuing,11,1';  palabras[199] = 'it,13,26,4,16,8,10,12,10,5,9,14,9,10,8,9,7,6,5,7,5,0,4,1,4,11,4,15,3,16,3,2,2,3,2';  palabras[200] = 'items,12,2,13,1,14,1';  palabras[201] = 'its,4,10,5,10,3,8,7,6,13,6,9,4,14,4,2,3,12,3,0,2,1,2,15,2,6,1,11,1,16,1';  palabras[202] = 'itself,11,1';  palabras[203] = 'iv,4,12,12,1';  palabras[204] = 'ix,9,12';  
break;
case 'j': 
palabras[0] = 'jackson,5,1,9,1,14,1';  palabras[1] = 'jail,9,1';  palabras[2] = 'jailed,9,1';  palabras[3] = 'jails,9,1';  palabras[4] = 'jamaican,13,1';  palabras[5] = 'james,5,1';  palabras[6] = 'jazz,5,1';  palabras[7] = 'jefferson,5,1';  palabras[8] = 'jewelry,5,1';  palabras[9] = 'job,13,46,14,19,15,18,12,3,4,2,16,2,2,1,6,1';  palabras[10] = 'jobs,14,9,15,5,5,4,13,3,4,1';  palabras[11] = 'johnson,5,1';  palabras[12] = 'join,13,1,15,1';  palabras[13] = 'joining,14,1';  palabras[14] = 'joint,5,1,6,1,14,1';  palabras[15] = 'jointly,14,1';  palabras[16] = 'jr,5,1';  palabras[17] = 'juan,5,1,13,1';  palabras[18] = 'july,2,1';  palabras[19] = 'juncture,5,1';  palabras[20] = 'june,7,3,2,1';  palabras[21] = 'jurisdiction,12,3,0,2,1,2,9,2,5,1';  palabras[22] = 'jurisdictions,9,5,0,2,16,2,6,1,14,1';  palabras[23] = 'jurisdictions",9,1';  palabras[24] = 'just,13,2,5,1,7,1';  palabras[25] = 'justice,5,1,9,1';  palabras[26] = 'justify,14,1';  palabras[27] = 'juvenile,14,1';  
break;
case 'k': 
palabras[0] = 'keep,2,1,14,1';  palabras[1] = 'keeping,13,1';  palabras[2] = 'kendall,7,1';  palabras[3] = 'key,13,10,6,6,9,3,12,3,15,3,0,2,7,2,2,1,5,1,10,1';  palabras[4] = 'kid,14,1';  palabras[5] = 'kidcare,14,1';  palabras[6] = 'kind,14,1';  palabras[7] = 'kinds,8,2';  palabras[8] = 'king,5,12,13,1,14,1';  palabras[9] = 'kiosks,5,1';  palabras[10] = 'kit,14,1,15,1';  palabras[11] = 'kitchen,6,2';  palabras[12] = 'knight,5,2';  palabras[13] = 'know,8,1,13,1';  palabras[14] = 'known,5,9,0,1,6,1';  palabras[15] = 'knows,5,1';  
break;
case 'l': 
palabras[0] = 'labor,13,14,16,10,4,8,15,3,12,1';  palabras[1] = 'laborers,16,2';  palabras[2] = 'lack,7,6,12,4,13,4,4,3,0,2,5,1,6,1,14,1';  palabras[3] = 'lacking,6,3,13,1';  palabras[4] = 'lacks,4,1';  palabras[5] = 'ladder,1,1';  palabras[6] = 'lagged,7,1';  palabras[7] = 'land,7,17,12,16,0,3,5,2';  palabras[8] = 'landlord,8,1,10,1,12,1';  palabras[9] = 'landlords,10,2,12,1';  palabras[10] = 'landmark,5,1';  palabras[11] = 'landscape,5,2';  palabras[12] = 'landscapes,13,2';  palabras[13] = 'landscaping,7,1,13,1,15,1';  palabras[14] = 'lane,5,1';  palabras[15] = 'lanes,5,2';  palabras[16] = 'language,2,5,4,3,12,1';  palabras[17] = 'languages,2,2';  palabras[18] = 'large,8,41,6,13,13,6,5,5,7,5,12,4,4,3,10,1,14,1,15,1,16,1';  palabras[19] = 'largely,4,1,7,1';  palabras[20] = 'larger,7,5,6,2,3,1,13,1';  palabras[21] = 'largest,7,13,10,7,5,6,6,6,8,5,13,4,0,3,4,1,11,1,12,1';  palabras[22] = 'last,4,3,12,3,0,2,5,2,1,1,14,1';  palabras[23] = 'late,5,1';  palabras[24] = 'later,14,1';  palabras[25] = 'latin,4,2,5,1';  palabras[26] = 'latino,4,1';  palabras[27] = 'latter,6,1';  palabras[28] = 'laundries,13,1';  palabras[29] = 'law,2,6,16,4,9,1,14,1';  palabras[30] = 'laws,16,3,0,1,12,1';  palabras[31] = 'lawsuit,5,1';  palabras[32] = 'lcsw,12,1';  palabras[33] = 'lead,11,166,12,21,0,18,1,1,6,1,7,1';  palabras[34] = 'leaders,5,2';  palabras[35] = 'leadership,5,4,3,2,14,2';  palabras[36] = 'leading,11,2,13,2,4,1';  palabras[37] = 'leads,15,1';  palabras[38] = 'league,5,1';  palabras[39] = 'learned,2,7,1,1';  palabras[40] = 'learning,11,6';  palabras[41] = 'lease,7,13,12,13,0,2,6,1';  palabras[42] = 'leasing,0,1';  palabras[43] = 'least,14,4,0,1,10,1,12,1';  palabras[44] = 'leave,5,1,13,1';  palabras[45] = 'led,12,1';  palabras[46] = 'legal,14,2,13,1';  palabras[47] = 'legislation,12,2';  palabras[48] = 'legislative,15,2';  palabras[49] = 'lemon,5,1';  palabras[50] = 'lenders,7,5,0,2,12,1,15,1';  palabras[51] = 'lenders",7,1';  palabras[52] = 'lending,7,17,0,1,12,1,14,1';  palabras[53] = 'length,12,1';  palabras[54] = 'less,6,9,7,9,8,6,5,5,4,3,13,3,11,2,0,1,10,1,16,1';  palabras[55] = 'lessons,2,7,1,1';  palabras[56] = 'letters,2,1,15,1';  palabras[57] = 'level,2,11,7,8,11,6,12,5,14,5,4,4,13,4,3,3,5,3,8,3,10,3,1,2,15,2,6,1,9,1';  palabras[58] = 'levels,11,14,7,4,6,3,9,3,13,3,3,2,5,1,8,1,12,1,14,1';  palabras[59] = 'leverage,3,2,12,2,10,1,13,1,15,1';  palabras[60] = 'leveraging,14,4,5,2,3,1,13,1,15,6';  palabras[61] = 'liability,16,1';  palabras[62] = 'liaison,12,1';  palabras[63] = 'liberty,0,1,8,1';  palabras[64] = 'library,16,1';  palabras[65] = 'liens,12,1';  palabras[66] = 'lieu,2,1';  palabras[67] = 'life,15,11,14,8,10,7,13,6,12,3,5,2,0,1,1,1,9,1,16,1';  palabras[68] = 'lifeline,14,1';  palabras[69] = 'lifestyle,7,1';  palabras[70] = 'light,5,3';  palabras[71] = 'lighting,13,3,15,1';  palabras[72] = 'lights,0,1,15,1';  palabras[73] = 'lihtc,12,2';  palabras[74] = 'like,2,1,3,1,5,1,7,1,8,1';  palabras[75] = 'likelihood,5,1,14,1';  palabras[76] = 'likely,7,7,4,3,6,2,13,2,0,1,5,1';  palabras[77] = 'likewise,5,1,7,1';  palabras[78] = 'limit,12,3';  palabras[79] = 'limitation,14,1';  palabras[80] = 'limitations,14,2,5,1,6,1';  palabras[81] = 'limited,7,7,14,5,6,4,13,3,8,2,10,2,12,2,5,1,16,1';  palabras[82] = 'limiting,4,1';  palabras[83] = 'limits,6,4,5,2,9,2,2,1,8,1,10,1';  palabras[84] = 'line,13,3,14,3,15,2,0,1';  palabras[85] = 'link,9,2,15,1';  palabras[86] = 'linkages,0,1,15,1';  palabras[87] = 'links,13,1';  palabras[88] = 'linsey,5,1';  palabras[89] = 'lisc,3,1,12,1';  palabras[90] = 'list,10,15,5,10,0,3,13,3,14,3,2,2,3,1,6,1,7,1,12,1';  palabras[91] = 'listed,12,3,0,1,2,1,14,1';  palabras[92] = 'listing,12,1';  palabras[93] = 'lists,10,1';  palabras[94] = 'literacy,14,2,12,1,15,1';  palabras[95] = 'lithc,12,2';  palabras[96] = 'litter,14,1';  palabras[97] = 'little,5,81,7,26,0,17,8,12,13,12,6,9,11,7,12,6,9,1,10,1';  palabras[98] = 'livability,14,1';  palabras[99] = 'live,8,19,13,7,12,3,14,2,0,1,5,1,11,1,15,1,16,1';  palabras[100] = 'lived,8,1';  palabras[101] = 'lives,13,2,4,1,11,1,12,1';  palabras[102] = 'living,8,21,12,12,13,12,14,9,10,8,11,7,0,5,15,3,5,2,6,2,2,1,4,1,9,1';  palabras[103] = 'loan,14,12,12,9,6,6,5,3,2,2,7,2,13,1,15,1';  palabras[104] = 'loans,13,11,6,5,12,3,15,3,7,2,14,2';  palabras[105] = 'lobbying,12,1';  palabras[106] = 'local,3,15,14,14,15,11,9,9,12,9,5,8,0,7,1,6,7,5,13,5,6,3,16,2,2,1,8,1';  palabras[107] = 'locale,5,1';  palabras[108] = 'locally,13,1';  palabras[109] = 'locals,5,2';  palabras[110] = 'located,5,11,9,9,15,6,7,4,12,4,13,4,2,1,10,1,11,1,14,1';  palabras[111] = 'locating,8,8';  palabras[112] = 'location,5,2,13,2,2,1,7,1,8,1,12,1,14,1';  palabras[113] = 'locations,7,2,0,1,2,1,5,1,14,1';  palabras[114] = 'locker,5,1';  palabras[115] = 'logistics,2,1';  palabras[116] = 'long,5,4,0,3,12,3,15,3,13,2,14,2,2,1,9,1,11,1,16,1';  palabras[117] = 'longer,6,1,14,1';  palabras[118] = 'longtime,12,1';  palabras[119] = 'look,5,1,16,3';  palabras[120] = 'looking,13,2,1,1,7,1';  palabras[121] = 'loss,12,3,7,2,13,1';  palabras[122] = 'lost,7,2,12,1,14,1';  palabras[123] = 'lot,12,1';  palabras[124] = 'lots,5,2';  palabras[125] = 'loved,14,1';  palabras[126] = 'low,6,77,12,50,7,28,15,26,14,24,0,11,11,10,13,9,8,8,10,6,4,4,5,4,9,3,16,2,1,1,2,1,3,1';  palabras[127] = 'lower,6,6,14,6,8,5,12,4,0,3,11,3,7,2,15,2,1,1';  palabras[128] = 'lowest,7,3,13,2,4,1,6,1,12,1';  palabras[129] = 'lp,12,21';  palabras[130] = 'luster,4,1';  palabras[131] = 'luther,5,12,13,1,14,1';  palabras[132] = 'luxury,12,1';  palabras[133] = 'lyric,5,2';  
break;
case 'm': 
palabras[0] = 'macarthur,5,1';  palabras[1] = 'made,5,5,12,4,2,3,13,3,4,1,9,1,14,1';  palabras[2] = 'mailed,2,1';  palabras[3] = 'main,14,4,0,2,3,1,5,1,7,1,9,1,15,1';  palabras[4] = 'mainly,12,2,4,1';  palabras[5] = 'maintain,12,9,0,4,14,2,15,2,5,1,8,1,9,1,13,1';  palabras[6] = 'maintaining,12,2,0,1,5,1,14,1,15,1';  palabras[7] = 'maintains,10,1,16,1';  palabras[8] = 'maintenance,7,8,12,5,0,2,11,1,13,1';  palabras[9] = 'major,5,4,9,3,0,1,6,1,7,1,16,1';  palabras[10] = 'majority,6,15,8,15,7,9,4,6,9,4,10,2,12,2,0,1,5,1,13,1,14,1';  palabras[11] = 'make,13,11,10,8,7,6,5,5,12,5,14,4,6,2,16,2,0,1,3,1,4,1,8,1,9,1';  palabras[12] = 'makes,16,2,8,1';  palabras[13] = 'making,2,6,8,2,10,2,14,2,4,1,5,1,6,1,11,1,12,1,13,1';  palabras[14] = 'male,8,4,9,1';  palabras[15] = 'males,13,2';  palabras[16] = 'mall,5,1';  palabras[17] = 'malnourishment,15,1';  palabras[18] = 'manage,10,1,15,6';  palabras[19] = 'managed,5,1,9,1,10,1,14,1,15,6';  palabras[20] = 'management,15,6,9,3,14,3,12,2,16,2,10,1';  palabras[21] = 'manager,3,3,14,2,0,1,12,1,16,1';  palabras[22] = 'managerial,15,1';  palabras[23] = 'managers,13,1,16,1';  palabras[24] = 'manages,10,1';  palabras[25] = 'managua,5,1';  palabras[26] = 'mandated,0,1,14,1';  palabras[27] = 'mandates,1,11,16,1';  palabras[28] = 'manner,2,1,3,1,9,1,12,1,15,1,16,1';  palabras[29] = 'manny,14,1';  palabras[30] = 'manufacturers,5,1';  palabras[31] = 'manufactures,13,1';  palabras[32] = 'manufacturing,5,10,13,3,15,1';  palabras[33] = 'many,13,12,4,7,5,5,12,5,3,2,0,1,1,1,6,1,7,1,8,1,9,1,11,1,14,1,15,1,16,1';  palabras[34] = 'map,13,1';  palabras[35] = 'maps,5,1';  palabras[36] = 'margin,12,1';  palabras[37] = 'market,7,107,12,23,0,13,5,11,13,11,3,2,6,1';  palabras[38] = 'marketable,15,1';  palabras[39] = 'marketing,2,1,10,1,12,1,13,1';  palabras[40] = 'marketplace,5,6,13,1';  palabras[41] = 'markets,7,6,13,3,12,2,6,1';  palabras[42] = 'married,6,4,9,1';  palabras[43] = 'martin,5,12,13,1,14,1';  palabras[44] = 'mass,12,1';  palabras[45] = 'master,14,3,5,2,9,1';  palabras[46] = 'match,14,1';  palabras[47] = 'matching,12,2,6,1,13,1';  palabras[48] = 'materials,2,1,10,1';  palabras[49] = 'math,13,1';  palabras[50] = 'matter,1,2';  palabras[51] = 'maximize,13,1';  palabras[52] = 'maximizing,2,8,3,1';  palabras[53] = 'maximum,15,3,2,2,6,1,12,1';  palabras[54] = 'may,12,12,8,10,14,9,6,8,13,4,0,3,5,2,2,1,4,1,7,1,9,1,10,1,15,1,16,1';  palabras[55] = 'mayor,14,29,1,3,3,3,15,1';  palabras[56] = 'mcdonald,5,1';  palabras[57] = 'mckinney,6,1,9,1';  palabras[58] = 'mdha,10,5,3,2';  palabras[59] = 'meals,15,2,13,1,14,1';  palabras[60] = 'mean,4,1';  palabras[61] = 'meaning,4,1';  palabras[62] = 'means,15,4,0,3,13,2,2,1,3,1,5,1,6,1,8,1,12,1,14,1';  palabras[63] = 'meant,8,2';  palabras[64] = 'measurable,1,1,12,1';  palabras[65] = 'measure,1,1,6,1,13,1';  palabras[66] = 'measures,12,2,0,1,9,1,10,1,13,1';  palabras[67] = 'measuring,3,1';  palabras[68] = 'mecca,5,1';  palabras[69] = 'mechanical,14,1';  palabras[70] = 'mechanics,16,1';  palabras[71] = 'mechanism,12,1';  palabras[72] = 'mechanisms,12,1';  palabras[73] = 'median,6,18,7,15,8,12,12,6,14,4,0,3,5,2,4,1,10,1';  palabras[74] = 'mediation,12,2';  palabras[75] = 'medicaid,11,1,14,1';  palabras[76] = 'medical,5,5,9,1,14,1';  palabras[77] = 'medically,8,1';  palabras[78] = 'medication,9,2';  palabras[79] = 'medications,8,1,9,1';  palabras[80] = 'mediterranean,5,1';  palabras[81] = 'medium,15,2';  palabras[82] = 'meet,12,6,14,3,6,2,15,2,5,1,8,1,13,1';  palabras[83] = 'meeting,12,5,16,2,1,1,2,1,4,1,14,1,15,1';  palabras[84] = 'meetings,2,7,3,3';  palabras[85] = 'meets,14,2';  palabras[86] = 'member,8,1';  palabras[87] = 'members,8,2,14,2,3,1,5,1,15,1,16,1';  palabras[88] = 'memorial,5,2,9,1';  palabras[89] = 'men,9,1';  palabras[90] = 'mental,12,4,14,3,9,2,8,1,15,1';  palabras[91] = 'mentally,9,8';  palabras[92] = 'mentioned,6,1,9,1,10,1,13,1';  palabras[93] = 'mentoring,14,2,15,1';  palabras[94] = 'merchant,5,5';  palabras[95] = 'mere,4,1,8,1';  palabras[96] = 'merge,14,1';  palabras[97] = 'meritorious,5,1';  palabras[98] = 'message,7,1,13,1';  palabras[99] = 'met,10,1,12,1,14,1,16,1';  palabras[100] = 'metals,13,3';  palabras[101] = 'method,1,1,9,1,14,1';  palabras[102] = 'methodology,6,6,13,6';  palabras[103] = 'metropolitan,7,2,0,1,5,1';  palabras[104] = 'metrorail,5,1';  palabras[105] = 'mfi,8,9,12,2,0,1';  palabras[106] = 'mhap,9,23';  palabras[107] = 'miami,7,117,9,90,12,74,5,60,6,53,11,45,8,44,4,43,13,39,0,31,2,31,10,30,14,21,3,7,15,5,1,4,16,4';  palabras[108] = 'michigan,5,1';  palabras[109] = 'micro,15,9,14,6,13,1';  palabras[110] = 'microcosm,4,1';  palabras[111] = 'mid,7,1';  palabras[112] = 'middle,6,14,4,2,0,1,5,1,14,3';  palabras[113] = 'midst,5,1';  palabras[114] = 'midtown,5,8';  palabras[115] = 'might,7,1';  palabras[116] = 'mile,4,1';  palabras[117] = 'million,5,15,7,1,13,1';  palabras[118] = 'millions,5,1';  palabras[119] = 'mini,5,1';  palabras[120] = 'minimal,13,1';  palabras[121] = 'minimize,16,1';  palabras[122] = 'minimizes,16,1';  palabras[123] = 'minimizing,14,1';  palabras[124] = 'minimum,16,2,0,1,4,1,5,1,6,1,12,1';  palabras[125] = 'minorities,7,14,12,2,0,1,2,1,5,1,6,1,13,1';  palabras[126] = 'minority,4,6,13,6,6,3,7,3,16,3,0,1,2,1,8,1,11,1,12,1,15,1';  palabras[127] = 'mirror,14,1';  palabras[128] = 'miscellaneous,2,1';  palabras[129] = 'mission,14,2,0,1,9,1,15,1';  palabras[130] = 'missions,9,1';  palabras[131] = 'mitigation,12,1,14,1';  palabras[132] = 'mix,5,2,12,2,7,1,14,1';  palabras[133] = 'mixed,12,15,5,5,0,2,1,2,7,2,15,1';  palabras[134] = 'mlk,5,13,14,1';  palabras[135] = 'mod,14,2';  palabras[136] = 'model,5,126,12,50,0,25,7,7,11,7,13,6,3,5,1,4,6,4,9,3,10,2,14,1,15,1';  palabras[137] = 'models,9,2';  palabras[138] = 'moderate,6,38,12,18,15,13,14,11,0,8,13,3,10,2,2,1,7,1,11,1';  palabras[139] = 'modern,5,1,14,1';  palabras[140] = 'modernization,15,1';  palabras[141] = 'modestly,4,1';  palabras[142] = 'modifications,5,4';  palabras[143] = 'modified,12,1';  palabras[144] = 'modify,2,1';  palabras[145] = 'monetary,14,1,15,1';  palabras[146] = 'money,0,1,12,1,14,1';  palabras[147] = 'moneys,12,1';  palabras[148] = 'monies,6,1,11,1,16,1';  palabras[149] = 'monitor,15,7,16,3,0,1,14,1';  palabras[150] = 'monitored,16,4,0,1';  palabras[151] = 'monitoring,16,28,0,5,14,3,12,1';  palabras[152] = 'month,7,7,8,1,10,1';  palabras[153] = 'monthly,7,1,8,1,10,1,12,1,16,1';  palabras[154] = 'months,7,3,9,1';  palabras[155] = 'monument,0,1,15,1';  palabras[156] = 'monuments,5,1';  palabras[157] = 'more,6,24,8,17,12,8,13,6,5,5,0,3,14,3,16,2,2,1,4,1,7,1,11,1,15,1';  palabras[158] = 'moreover,14,2,7,1,16,1';  palabras[159] = 'mortgage,8,10,12,5,7,3,6,2,0,1,13,1';  palabras[160] = 'mortgages,12,1';  palabras[161] = 'most,8,15,7,12,6,11,13,10,12,8,5,7,0,6,4,5,11,3,9,2,10,2,14,2,1,1';  palabras[162] = 'mostly,6,6,5,2,8,2,13,1';  palabras[163] = 'motels,14,1';  palabras[164] = 'mothers,13,1';  palabras[165] = 'motif,13,1';  palabras[166] = 'motion,13,2';  palabras[167] = 'move,12,3,4,1,8,1,13,1';  palabras[168] = 'moving,7,2,8,2,6,1,12,1';  palabras[169] = 'mpo,5,1';  palabras[170] = 'msa,7,2';  palabras[171] = 'much,5,3,13,2,1,1,4,1,6,1,7,1,12,1,14,1';  palabras[172] = 'multi,7,66,12,23,0,14,10,3,5,1,6,1,16,1';  palabras[173] = 'multicultural,13,1';  palabras[174] = 'multifamily,7,3,6,1';  palabras[175] = 'multilingual,13,1';  palabras[176] = 'multiple,5,2,9,2,6,1';  palabras[177] = 'multiyear,0,1,5,1,12,1';  palabras[178] = 'municipal,12,1,13,1';  palabras[179] = 'municipalities,4,1,9,1';  palabras[180] = 'music,14,1';  palabras[181] = 'must,9,30,14,15,16,6,6,5,13,5,1,4,12,2,0,1,2,1,4,1,5,1,7,1';  palabras[182] = 'mutual,14,1';  palabras[183] = 'myriad,12,1,13,1,14,1';  
break;
case 'n': 
palabras[0] = 'n,5,2,13,1';  palabras[1] = 'naha,1,2';  palabras[2] = 'named,5,1';  palabras[3] = 'namely,0,1,4,1,12,1';  palabras[4] = 'nap,5,1';  palabras[5] = 'nation,12,21,4,9,13,3,0,2,5,2,11,1,14,1';  palabras[6] = 'national,14,9,12,6,1,3,5,3,4,2,15,2,7,1,10,1,16,1';  palabras[7] = 'nationalities,13,1';  palabras[8] = 'nationally,8,2,0,1,12,1';  palabras[9] = 'native,10,1';  palabras[10] = 'natural,5,1,7,1';  palabras[11] = 'naturalized,4,1';  palabras[12] = 'nature,9,1,14,1';  palabras[13] = 'nd,5,25';  palabras[14] = 'ndz,5,26,6,16,8,6,13,4,0,3,7,2,12,2';  palabras[15] = 'ndzs,7,95,6,26,12,26,5,21,13,17,0,11,8,4,10,1,14,1';  palabras[16] = 'ne,5,16';  palabras[17] = 'near,5,2,7,2,14,2,0,1,12,1,13,1';  palabras[18] = 'nearby,5,1';  palabras[19] = 'nearly,7,5,5,3,10,1';  palabras[20] = 'necessary,9,6,13,2,3,1,5,1,14,1,15,1';  palabras[21] = 'necessities,6,1';  palabras[22] = 'need,6,31,8,29,13,21,0,16,12,15,15,8,14,6,5,4,10,3,4,2,1,1,3,1,7,1,9,1';  palabras[23] = 'needed,13,4,14,4,12,3,4,2,5,2,10,1,15,1,16,1';  palabras[24] = 'needs,12,56,6,43,13,36,2,35,9,31,8,30,0,27,14,20,15,19,10,13,3,8,1,7,7,6,4,3,5,1,11,1,16,1';  palabras[25] = 'needy,10,1';  palabras[26] = 'neglected,14,1';  palabras[27] = 'negligible,13,1';  palabras[28] = 'negotiations,16,1';  palabras[29] = 'neighborhood,5,104,0,32,11,25,12,22,7,19,2,13,14,13,13,8,3,7,6,6,15,4,1,3,8,3,10,2,9,1';  palabras[30] = 'neighborhoods,0,14,7,13,12,13,15,12,5,11,14,7,13,3,11,2,1,1,3,1,6,1,8,1,10,1';  palabras[31] = 'neighbors,5,1,8,1';  palabras[32] = 'nepa,16,1';  palabras[33] = 'net,14,8,9,1,16,1';  palabras[34] = 'network,13,2,15,2,5,1,14,1';  palabras[35] = 'neurological,11,1';  palabras[36] = 'never,9,1';  palabras[37] = 'nevertheless,14,2,0,1,15,1';  palabras[38] = 'new,12,56,7,28,5,10,6,7,9,7,0,4,4,3,1,2,13,2,14,2,3,1,10,1,15,6';  palabras[39] = 'newer,7,1';  palabras[40] = 'newly,6,4,12,2,7,1';  palabras[41] = 'newspapers,2,2';  palabras[42] = 'next,12,9,11,7,5,4,13,4,0,3,3,3,1,1,4,1,8,1,9,1,15,1,16,1';  palabras[43] = 'nicaragua,4,1';  palabras[44] = 'niche,13,2';  palabras[45] = 'night,5,1';  palabras[46] = 'nine,10,1';  palabras[47] = 'nip,5,1';  palabras[48] = 'no,8,4,6,3,0,2,2,1,3,1,5,1,7,1,13,1,14,1';  palabras[49] = 'node,5,1';  palabras[50] = 'nofa,9,1';  palabras[51] = 'nofas,10,1';  palabras[52] = 'non,12,26,15,19,13,9,0,7,4,7,6,7,2,4,3,3,14,3,7,2,8,2,10,2,1,1,5,1,9,1,11,1';  palabras[53] = 'nonprofit,3,3,6,2,14,1';  palabras[54] = 'nonprofits,14,1';  palabras[55] = 'nor,14,1';  palabras[56] = 'norm,14,1';  palabras[57] = 'normally,2,1';  palabras[58] = 'north,5,27,7,2,4,1,8,1,13,1';  palabras[59] = 'northeast,5,4,7,1';  palabras[60] = 'northern,5,2,2,1';  palabras[61] = 'northward,5,1';  palabras[62] = 'northwest,5,2';  palabras[63] = 'not,13,15,6,13,7,9,12,9,14,9,4,5,10,5,9,4,11,3,0,2,2,2,16,2,3,1,5,1,8,1,15,1';  palabras[64] = 'notable,5,1,7,1';  palabras[65] = 'notably,12,1';  palabras[66] = 'note,7,2,2,1,4,1,6,1,12,1,14,3';  palabras[67] = 'noted,8,4,9,4,7,3,10,2,13,2,14,2,3,1,6,1';  palabras[68] = 'notice,2,9,11,2,14,1';  palabras[69] = 'noticeably,7,1';  palabras[70] = 'noticed,2,1';  palabras[71] = 'notices,2,1';  palabras[72] = 'notifying,2,1';  palabras[73] = 'november,7,2,14,1';  palabras[74] = 'now,5,2,12,1';  palabras[75] = 'nowhere,9,1';  palabras[76] = 'nrsa,3,1,14,1';  palabras[77] = 'nrsas,3,1';  palabras[78] = 'number,12,20,11,13,14,7,8,6,9,5,13,5,3,4,6,4,0,3,4,3,10,3,5,2';  palabras[79] = 'numbers,8,5,7,2,13,2,4,1,9,1,12,1';  palabras[80] = 'numerous,0,1,5,1,15,1';  palabras[81] = 'nurture,14,1';  palabras[82] = 'nutrition,14,1';  palabras[83] = 'nutritional,15,4,14,3';  palabras[84] = 'nw,5,75';  
break;
case 'o': 
palabras[0] = 'objective,14,101,10,37,15,7,0,1,1,1,16,1';  palabras[1] = 'objectives,15,13,14,8,1,4,16,4,0,3,12,3,3,2,6,2,10,2,7,1';  palabras[2] = 'obligating,14,1';  palabras[3] = 'obligation,14,1';  palabras[4] = 'obligations,16,1';  palabras[5] = 'observance,14,1';  palabras[6] = 'obsolete,12,1';  palabras[7] = 'obstacles,12,7,1,1,2,1';  palabras[8] = 'obtain,12,6,0,1,2,1,10,1,13,1,14,1,16,1';  palabras[9] = 'obtained,12,1';  palabras[10] = 'obtaining,9,1,13,1';  palabras[11] = 'occupancy,7,17,6,2';  palabras[12] = 'occupants,12,1';  palabras[13] = 'occupations,13,2';  palabras[14] = 'occupied,8,10,12,4,7,3,10,2,6,1,11,1,14,1';  palabras[15] = 'occupy,11,3,8,2,6,1';  palabras[16] = 'occupying,6,1';  palabras[17] = 'occur,6,2';  palabras[18] = 'occurred,7,2,11,2';  palabras[19] = 'occurring,7,3,12,2,0,1,9,1,16,1';  palabras[20] = 'occurs,14,1';  palabras[21] = 'oced,3,1';  palabras[22] = 'ocho,5,5';  palabras[23] = 'october,7,2';  palabras[24] = 'of,7,348,12,344,6,299,8,238,14,224,13,219,5,207,0,151,9,139,15,136,11,134,10,127,2,93,4,89,1,82,16,65,3,48';  palabras[25] = 'ofa,12,3';  palabras[26] = 'off,0,1,5,1,12,1,14,1,15,1';  palabras[27] = 'offender,14,1';  palabras[28] = 'offer,5,3,15,3,12,2,8,1,10,1,11,1,13,1,14,1';  palabras[29] = 'offered,12,3,1,1,5,1,6,1,9,1';  palabras[30] = 'offering,14,1';  palabras[31] = 'offers,5,3,11,1,12,1';  palabras[32] = 'office,14,10,3,4,5,4,12,3,0,1,9,1,16,1';  palabras[33] = 'officers,14,1';  palabras[34] = 'offices,14,8,3,6,5,1';  palabras[35] = 'officially,14,1';  palabras[36] = 'officials,1,1,2,1,3,1';  palabras[37] = 'offifice,3,3';  palabras[38] = 'offspring,15,1';  palabras[39] = 'often,2,1,6,1,7,1,16,1';  palabras[40] = 'old,12,7,7,6,8,5,6,4,5,3,13,2,0,1';  palabras[41] = 'older,8,15,7,4,6,3,12,3,0,1,13,1';  palabras[42] = 'oldest,5,2,13,1';  palabras[43] = 'olitical,12,1';  palabras[44] = 'omni,5,1';  palabras[45] = 'on,5,28,13,26,12,25,9,17,14,16,0,14,6,13,8,12,7,11,15,11,2,7,16,7,1,5,10,5,11,4,3,3,4,3';  palabras[46] = 'once,5,3,12,2,13,2,16,2,6,1,7,1';  palabras[47] = 'one,6,20,5,11,14,6,4,5,8,5,0,4,13,3,9,2,12,2,7,1,11,1,15,1';  palabras[48] = 'onerous,7,1';  palabras[49] = 'ones,6,2,12,1,14,1';  palabras[50] = 'ongoing,0,1,9,1,15,1,16,1';  palabras[51] = 'only,8,18,7,13,6,9,12,5,13,4,10,3,4,2,5,2,14,2,0,1,2,1';  palabras[52] = 'onto,13,1';  palabras[53] = 'open,5,2,15,2,2,1,9,1,12,1';  palabras[54] = 'opened,5,2';  palabras[55] = 'openness,1,1';  palabras[56] = 'operate,3,1,6,1,9,1,10,1,14,1,15,1';  palabras[57] = 'operated,10,3,9,1';  palabras[58] = 'operates,12,1';  palabras[59] = 'operating,12,2,15,2,0,1,6,1';  palabras[60] = 'operation,14,3,3,1,9,1,10,1,16,1';  palabras[61] = 'operations,16,1';  palabras[62] = 'opinion,2,1';  palabras[63] = 'opportunities,12,30,13,20,0,10,5,10,15,8,14,7,6,6,1,4,2,3,16,3,4,2,7,2,3,1,8,1,10,1';  palabras[64] = 'opportunity,5,9,2,7,10,6,12,3,1,2,3,1,7,1,13,1,14,1';  palabras[65] = 'opposed,8,2';  palabras[66] = 'opposite,8,1';  palabras[67] = 'options,8,3,12,2,6,1,14,1';  palabras[68] = 'or,8,42,6,38,7,28,12,28,14,25,11,17,13,12,2,10,16,10,9,8,10,6,0,4,1,3,5,3,15,3';  palabras[69] = 'order,12,10,13,9,4,4,0,3,2,3,14,3,1,2,3,2,5,1,6,1,15,1';  palabras[70] = 'organization,1,5,12,2,14,2,5,1,9,1,15,1,16,1';  palabras[71] = 'organizations,3,8,14,7,15,7,11,6,12,4,0,3,1,2,2,2,13,2,5,1';  palabras[72] = 'organized,2,2,9,6';  palabras[73] = 'origin,10,1';  palabras[74] = 'original,5,1';  palabras[75] = 'orlando,5,1';  palabras[76] = 'other,12,23,0,12,6,11,5,10,13,10,14,9,15,9,8,8,11,6,3,5,9,5,2,4,4,2,7,1,10,1,16,1';  palabras[77] = 'others,1,1,5,1,6,1,8,1,14,1,15,1';  palabras[78] = 'otherwise,5,1,12,1';  palabras[79] = 'our,14,12,1,2,9,2,3,1';  palabras[80] = 'out,12,7,14,5,0,4,16,4,13,2,1,1,2,1,3,1,4,1,8,1,9,1,15,1';  palabras[81] = 'outcome,12,102,15,51,16,6,1,1';  palabras[82] = 'outcomes,15,9,12,8,14,3,16,2,1,1,3,1';  palabras[83] = 'outdoor,5,1';  palabras[84] = 'outlets,5,3';  palabras[85] = 'outlined,16,2,3,1,9,1,10,1';  palabras[86] = 'outlines,14,1';  palabras[87] = 'output,1,1';  palabras[88] = 'outputs,13,1';  palabras[89] = 'outreach,9,25,12,8,2,6,14,3,10,2,16,2,0,1,6,1';  palabras[90] = 'outs,13,1';  palabras[91] = 'outside,15,2,2,1,5,1,12,1,14,1';  palabras[92] = 'over,7,10,5,9,13,9,8,6,4,5,9,5,0,3,3,3,12,3,6,2,10,2,16,2,2,1,11,1,14,1';  palabras[93] = 'overall,7,17,12,3,14,3,0,2,5,2,3,1,16,1';  palabras[94] = 'overcome,13,2,4,1';  palabras[95] = 'overcrowded,6,4';  palabras[96] = 'overcrowding,6,8,0,1';  palabras[97] = 'overly,4,1';  palabras[98] = 'overpayment,16,1';  palabras[99] = 'oversee,16,1';  palabras[100] = 'overseeing,9,1';  palabras[101] = 'overtown,5,46,0,7,7,7,13,7,6,5,8,2,11,2,12,2,14,2';  palabras[102] = 'overview,7,6,1,2,4,1,16,1';  palabras[103] = 'overwhelming,8,1';  palabras[104] = 'overwhelmingly,8,2';  palabras[105] = 'own,8,8,5,1';  palabras[106] = 'owned,12,5,14,3,8,2,0,1,5,1,6,1,13,1,15,1';  palabras[107] = 'owner,12,5,7,2,8,2,14,2,6,1';  palabras[108] = 'owners,8,10,6,6,12,4,13,3,14,3,15,2,7,1';  palabras[109] = 'ownership,6,3,0,1,2,1,12,1';  
break;
case 'p': 
palabras[0] = 'p,5,1,7,1,12,1,14,1';  palabras[1] = 'pace,7,1';  palabras[2] = 'packages,13,2';  palabras[3] = 'paid,16,3';  palabras[4] = 'paint,11,82,12,14,0,8,5,1,6,1,14,1';  palabras[5] = 'painting,13,1,14,1,16,1';  palabras[6] = 'paints,14,1';  palabras[7] = 'pamphlets,0,1,12,1';  palabras[8] = 'paperwork,16,2,12,1';  palabras[9] = 'parcels,12,3,10,1';  palabras[10] = 'parent,14,1';  palabras[11] = 'parents,11,1,15,1';  palabras[12] = 'park,5,21,15,11,3,3,13,1,14,1';  palabras[13] = 'parking,15,4,5,3,13,3,12,2,0,1';  palabras[14] = 'parks,14,9,15,9,0,8';  palabras[15] = 'part,1,7,5,5,7,3,4,2,16,2,6,1,9,1,12,1,13,1,15,1';  palabras[16] = 'partial,13,1,14,1';  palabras[17] = 'partially,5,1,14,1';  palabras[18] = 'participants,13,3,2,2';  palabras[19] = 'participate,2,4,12,3,11,1,13,1';  palabras[20] = 'participated,3,1';  palabras[21] = 'participating,1,1,2,1,3,1,12,1';  palabras[22] = 'participation,2,39,1,7,12,3,13,2,14,2,3,1,5,1,15,1,16,1';  palabras[23] = 'particular,7,2,10,2,13,2,0,1,6,1,9,1,12,1';  palabras[24] = 'particularly,7,9,11,8,12,6,3,1,10,1,13,1';  palabras[25] = 'parties,2,1,3,1';  palabras[26] = 'partner,12,2,14,1';  palabras[27] = 'partnering,3,1';  palabras[28] = 'partners,3,2';  palabras[29] = 'partnership,6,3,0,2,14,2,1,1,3,1,5,1,12,1,15,1';  palabras[30] = 'partnerships,3,11,0,2,15,2,2,1,12,1,13,1';  palabras[31] = 'parts,8,1';  palabras[32] = 'party,5,1';  palabras[33] = 'past,5,3,7,2,14,2,1,1,6,1,9,1';  palabras[34] = 'path,5,1';  palabras[35] = 'patients,9,1';  palabras[36] = 'patronage,5,1,14,1';  palabras[37] = 'patterns,7,9,4,1,14,1';  palabras[38] = 'pave,5,1';  palabras[39] = 'pavers,13,2';  palabras[40] = 'paving,13,1';  palabras[41] = 'pay,12,4,6,2,14,2,5,1,9,1,16,1';  palabras[42] = 'payers,13,1';  palabras[43] = 'paying,4,4,8,2,13,2,5,1';  palabras[44] = 'payment,12,8,16,8,0,2,10,2,6,1,7,1';  palabras[45] = 'payments,8,8,16,2,15,1';  palabras[46] = 'payroll,16,1';  palabras[47] = 'pedestrian,5,1';  palabras[48] = 'peel,11,1';  palabras[49] = 'peeling,11,1';  palabras[50] = 'pending,5,2,9,1,10,1';  palabras[51] = 'pent,7,1';  palabras[52] = 'people,13,15,8,9,5,6,6,6,14,6,7,3,9,2,2,1,4,1,15,1';  palabras[53] = 'per,7,4,15,3,6,2,16,2,1,1,4,1,10,1,12,1,13,1';  palabras[54] = 'perceived,13,1';  palabras[55] = 'percent,8,127,6,115,7,76,10,37,4,30,13,27,0,25,9,22,12,21,11,16,14,11,5,4,15,1';  palabras[56] = 'percentage,6,8,8,6,7,2,10,2,12,2';  palabras[57] = 'percentages,7,6,0,2,8,1,10,1,12,1,14,1';  palabras[58] = 'perception,13,2';  palabras[59] = 'perform,16,1';  palabras[60] = 'performance,16,12,3,7,14,2,0,1,1,1,7,1,12,1,13,1';  palabras[61] = 'performed,9,1';  palabras[62] = 'performing,12,2,7,1';  palabras[63] = 'perhaps,5,1';  palabras[64] = 'period,7,7,2,2,4,2,12,2,14,2,15,2,0,1,8,1,11,1,13,1';  palabras[65] = 'periodic,16,2';  palabras[66] = 'permanent,9,6,6,2,12,2';  palabras[67] = 'permanently,13,1';  palabras[68] = 'permit,7,3,12,1';  palabras[69] = 'permits,7,2';  palabras[70] = 'permitted,7,2,8,1';  palabras[71] = 'permitting,12,2';  palabras[72] = 'person,8,16,6,10,12,3,0,2,10,2,9,1';  palabras[73] = 'personal,13,2';  palabras[74] = 'persons,8,110,12,29,6,15,15,11,0,7,9,7,2,6,14,6,1,1,7,1,13,1,16,1';  palabras[75] = 'perspective,2,1,7,1';  palabras[76] = 'pertinent,14,2,12,1,16,1';  palabras[77] = 'pha,10,1';  palabras[78] = 'pharmacies,13,1';  palabras[79] = 'pharmacy,5,1';  palabras[80] = 'phas,8,1';  palabras[81] = 'phase,12,3,14,1';  palabras[82] = 'phases,5,2';  palabras[83] = 'phenomenon,4,1,8,1,14,1';  palabras[84] = 'philanthropic,12,1';  palabras[85] = 'philosophy,5,1,14,1';  palabras[86] = 'physical,7,4,13,2,0,1,5,1,8,1,12,1,14,1,15,1';  palabras[87] = 'pick,14,1';  palabras[88] = 'pickup,14,1';  palabras[89] = 'picture,13,2,14,1';  palabras[90] = 'piece,7,1';  palabras[91] = 'pine,5,1';  palabras[92] = 'pioneer,13,1';  palabras[93] = 'pioneers,5,1';  palabras[94] = 'pipeline,12,2,7,1';  palabras[95] = 'pish,4,2';  palabras[96] = 'place,13,13,8,5,5,4,14,4,1,1,3,1,6,1,9,1,12,1,16,1';  palabras[97] = 'placed,9,1,13,1,16,1';  palabras[98] = 'placement,13,11,9,4,5,1,12,1';  palabras[99] = 'places,14,4,13,1';  palabras[100] = 'plan,1,28,5,27,2,25,14,21,0,20,3,20,12,16,16,12,9,10,7,8,15,8,10,5,6,2,4,1,8,1,13,1';  palabras[101] = 'planned,7,7,5,3,0,2,2,2,12,2,3,1,13,1';  palabras[102] = 'planner,3,1';  palabras[103] = 'planners,14,1';  palabras[104] = 'planning,3,17,0,9,15,9,2,8,9,8,14,6,5,5,16,4,1,3,7,2,8,2,6,1,10,1,13,1';  palabras[105] = 'plans,5,8,3,1,6,1,7,1,9,1,12,1,14,1';  palabras[106] = 'plant,14,1';  palabras[107] = 'plastics,13,4';  palabras[108] = 'play,1,1,7,1';  palabras[109] = 'players,13,1';  palabras[110] = 'plaza,5,2';  palabras[111] = 'please,2,1,12,1,16,1';  palabras[112] = 'pledging,14,1';  palabras[113] = 'plumbing,6,2,7,1,14,1';  palabras[114] = 'plus,14,2,9,1';  palabras[115] = 'pmsa,7,2,6,1';  palabras[116] = 'pning,5,1';  palabras[117] = 'pocket,13,1';  palabras[118] = 'pockets,14,1';  palabras[119] = 'poinciana,5,5';  palabras[120] = 'point,5,3,9,2,8,1,11,1,14,1';  palabras[121] = 'points,12,1,14,1,15,1';  palabras[122] = 'poised,5,3,0,1';  palabras[123] = 'poisoning,11,28,0,3,12,3';  palabras[124] = 'poisonings,11,8,12,1';  palabras[125] = 'polarization,4,1';  palabras[126] = 'police,14,7,9,6,12,4,3,3,5,1';  palabras[127] = 'polices,2,1,7,1';  palabras[128] = 'policies,12,15,11,10,7,8,0,3,2,1,3,1,6,1,13,1,14,1,16,1';  palabras[129] = 'policy,0,73,12,36,13,8,9,2,1,1,7,1,14,1,16,1';  palabras[130] = 'political,4,2,5,1';  palabras[131] = 'pooled,9,1';  palabras[132] = 'pooling,5,1';  palabras[133] = 'poor,13,9,5,2,3,1,4,1,6,1,12,1';  palabras[134] = 'poorest,4,2,0,1,11,1,14,1';  palabras[135] = 'popular,5,1';  palabras[136] = 'populated,5,1';  palabras[137] = 'population,8,48,6,32,4,30,9,24,13,24,7,20,2,7,14,7,5,5,12,5,0,4,15,6';  palabras[138] = 'populations,12,21,0,8,2,7,7,6,6,3,8,3,9,3,4,2,13,2,14,2';  palabras[139] = 'portion,13,3,5,2,10,2,6,1';  palabras[140] = 'portions,4,1';  palabras[141] = 'pose,11,1';  palabras[142] = 'poses,11,6';  palabras[143] = 'position,14,1';  palabras[144] = 'positions,4,1';  palabras[145] = 'positive,13,2,14,2,5,1,12,1';  palabras[146] = 'posses,14,1';  palabras[147] = 'possessing,14,1';  palabras[148] = 'possibility,5,1,12,1';  palabras[149] = 'possible,12,4,13,3,5,1,14,1,15,1';  palabras[150] = 'possibly,5,1,13,1';  palabras[151] = 'post,2,1';  palabras[152] = 'potential,7,13,13,10,11,5,12,5,14,5,0,2,3,1,4,1,10,1,15,1';  palabras[153] = 'potentially,14,1';  palabras[154] = 'poverty,14,71,13,34,4,12,1,10,15,10,0,9,8,4,12,4,3,3,5,3,6,3,10,2,2,1,9,1';  palabras[155] = 'power,5,1,13,1';  palabras[156] = 'pp,15,9';  palabras[157] = 'practicable,16,1';  palabras[158] = 'practical,14,1';  palabras[159] = 'practice,14,2,3,1';  palabras[160] = 'practices,12,2,16,2,0,1,3,1,9,1,13,1,15,1';  palabras[161] = 'pre,9,6,12,3,11,1,14,1';  palabras[162] = 'precautious,0,1,12,1';  palabras[163] = 'precise,8,1';  palabras[164] = 'predatory,0,1,12,1';  palabras[165] = 'predicted,6,2';  palabras[166] = 'predominant,4,1,6,1';  palabras[167] = 'predominantly,7,2,10,2';  palabras[168] = 'predominately,6,2,0,1,8,1,12,1';  palabras[169] = 'prefer,8,6';  palabras[170] = 'preference,8,8,12,2,0,1,15,1';  palabras[171] = 'preferences,8,6';  palabras[172] = 'preferred,8,6';  palabras[173] = 'prehistory,14,1';  palabras[174] = 'preliminary,9,1';  palabras[175] = 'premise,1,1,3,1,5,1';  palabras[176] = 'preparation,14,1';  palabras[177] = 'prepare,15,2,0,1,3,1,12,1';  palabras[178] = 'prepared,1,2';  palabras[179] = 'prepares,1,1,14,1,16,1';  palabras[180] = 'preparing,14,2,16,1';  palabras[181] = 'prerequisites,16,1';  palabras[182] = 'preschool,14,1';  palabras[183] = 'prescription,9,1';  palabras[184] = 'presence,13,1';  palabras[185] = 'present,1,1,3,1,9,1';  palabras[186] = 'presentation,15,1';  palabras[187] = 'presentations,2,1';  palabras[188] = 'presented,1,1,5,1,14,1';  palabras[189] = 'preservation,13,14,15,13,12,11,0,7,14,6,2,2,3,1';  palabras[190] = 'preserve,12,33,0,15,13,2,3,1,5,1,6,1';  palabras[191] = 'preserved,15,2,0,1,5,1';  palabras[192] = 'preserves,16,1';  palabras[193] = 'preserving,12,7,0,3,3,1,13,1,14,1,15,1';  palabras[194] = 'presided,2,1';  palabras[195] = 'pressing,1,1';  palabras[196] = 'pressure,14,1';  palabras[197] = 'pressures,12,1';  palabras[198] = 'presumably,14,1';  palabras[199] = 'prevailing,16,13';  palabras[200] = 'prevalence,6,1';  palabras[201] = 'prevent,12,4,0,2,5,1,6,1,8,1,11,1,13,1';  palabras[202] = 'preventable,11,1';  palabras[203] = 'prevention,12,4,8,1,14,1';  palabras[204] = 'previous,7,4,2,1,12,1';  palabras[205] = 'previously,7,2,5,1,9,1,13,1';  palabras[206] = 'price,7,14,0,1,6,1';  palabras[207] = 'priced,12,4,0,2,7,1';  palabras[208] = 'prices,7,14,0,1';  palabras[209] = 'pride,0,1,15,1';  palabras[210] = 'primarily,7,3,2,1,3,1,4,1,5,1,8,1,9,1,10,1,13,1,14,1';  palabras[211] = 'primary,0,3,5,2,14,2,15,2,9,1,11,1,12,1';  palabras[212] = 'prime,7,2';  palabras[213] = 'primer,5,1';  palabras[214] = 'principal,12,1';  palabras[215] = 'principles,1,7,5,4,16,1';  palabras[216] = 'print,3,1,16,1';  palabras[217] = 'prior,11,9,7,4,16,2,2,1,4,1,8,1,12,1,14,1';  palabras[218] = 'priorities,12,19,15,11,2,8,14,7,0,5,3,5,16,4,1,3,9,2,13,2';  palabras[219] = 'prioritize,15,1';  palabras[220] = 'prioritized,9,1,12,1';  palabras[221] = 'priority,15,105,12,70,2,8,6,8,8,8,14,6,13,5,0,2,5,2,1,1,3,1,7,1,11,1,16,1';  palabras[222] = 'prison,9,1';  palabras[223] = 'private,7,27,14,10,12,9,13,9,0,7,5,7,3,6,11,6,10,2,15,2,1,1,6,1';  palabras[224] = 'privately,12,2,6,1,14,1';  palabras[225] = 'pro,9,1';  palabras[226] = 'proactive,0,1,13,1,14,1,15,1';  palabras[227] = 'probable,16,1';  palabras[228] = 'problem,11,9,13,5,3,1,4,1';  palabras[229] = 'problems,6,7,5,2,8,2,13,2,0,1,11,1,12,1,14,1,15,1';  palabras[230] = 'procedures,16,2';  palabras[231] = 'proceeded,1,1';  palabras[232] = 'proceedings,2,1,9,1';  palabras[233] = 'process,12,25,3,16,2,13,16,11,1,6,0,5,14,4,15,3,8,2,9,1';  palabras[234] = 'processed,16,1';  palabras[235] = 'proclaim,14,1';  palabras[236] = 'proclaiming,14,1';  palabras[237] = 'produce,5,5,1,1,3,1,6,1,8,1';  palabras[238] = 'product,6,1,16,1';  palabras[239] = 'production,12,15,16,2,13,1';  palabras[240] = 'productive,15,1';  palabras[241] = 'productivity,15,1';  palabras[242] = 'products,5,1,7,1';  palabras[243] = 'professional,1,1,9,1';  palabras[244] = 'professionally,15,6';  palabras[245] = 'proficiency,14,1';  palabras[246] = 'profile,4,17,7,8,8,8,9,8,10,8,0,1,5,1,15,1';  palabras[247] = 'profiles,10,1';  palabras[248] = 'profit,12,12,14,7,2,2,3,2,7,2,0,1,6,1,15,1';  palabras[249] = 'profits,0,2,3,2,15,2,12,1,13,1,14,1';  palabras[250] = 'profound,0,1,12,1';  palabras[251] = 'program,12,95,6,26,14,16,2,15,9,15,10,14,11,13,0,11,16,8,3,6,15,6,1,3,8,3,5,2,7,1';  palabras[252] = 'programmatic,6,1,16,1';  palabras[253] = 'programming,1,1';  palabras[254] = 'programs,14,34,6,29,12,29,13,27,15,26,11,14,0,13,1,9,3,6,2,5,16,5,7,2,9,2,10,2,4,1,5,1';  palabras[255] = 'progress,16,2,1,1,3,1,14,1';  palabras[256] = 'project,12,11,5,9,16,5,10,3,6,1,9,1,13,1,14,1';  palabras[257] = 'projected,6,27,7,2,4,1,5,1,8,1';  palabras[258] = 'projection,6,1';  palabras[259] = 'projections,6,33,8,6';  palabras[260] = 'projects,12,28,14,14,16,9,15,6,0,5,5,4,3,3,10,2,7,1,13,1';  palabras[261] = 'promise,5,1,14,1';  palabras[262] = 'promote,10,6,14,4,15,4,12,2,0,1,1,1,5,1';  palabras[263] = 'promoted,15,1';  palabras[264] = 'promotes,14,1,16,1';  palabras[265] = 'promoting,15,3,14,1';  palabras[266] = 'promotion,15,1';  palabras[267] = 'promptly,12,1';  palabras[268] = 'proper,2,1';  palabras[269] = 'properly,0,1,2,1,14,1,15,1,16,1';  palabras[270] = 'properties,12,9,6,6,8,3,11,2,14,2,5,1,13,1,15,1';  palabras[271] = 'property,12,10,14,2,0,1,5,1,6,1,7,1,15,1';  palabras[272] = 'proportion,6,9,8,5,13,2';  palabras[273] = 'proportionately,13,1';  palabras[274] = 'proportions,8,1';  palabras[275] = 'proposal,3,2,14,2,5,1,16,1';  palabras[276] = 'proposals,2,2';  palabras[277] = 'proposed,5,5,0,2,2,2,12,1';  palabras[278] = 'proposes,0,1,9,1,15,1';  palabras[279] = 'proposing,15,1';  palabras[280] = 'proprietary,12,2';  palabras[281] = 'prospect,15,1';  palabras[282] = 'prospective,12,2,10,1';  palabras[283] = 'prosperity,1,1';  palabras[284] = 'prostitution,14,1';  palabras[285] = 'protect,12,1,16,1';  palabras[286] = 'protecting,11,8';  palabras[287] = 'protection,12,1';  palabras[288] = 'protective,14,1';  palabras[289] = 'protocol,16,1';  palabras[290] = 'proved,5,1';  palabras[291] = 'proven,9,1';  palabras[292] = 'provide,12,66,15,20,14,14,6,11,10,11,0,8,13,7,5,5,1,3,2,3,7,3,8,3,9,3,16,3,3,2,4,1,11,1';  palabras[293] = 'provided,2,4,6,3,12,3,14,3,9,2,13,2,5,1,7,1';  palabras[294] = 'provider,9,1';  palabras[295] = 'providers,12,8,3,6,14,4,8,2,9,2,15,2,0,1,6,1';  palabras[296] = 'provides,6,5,13,5,2,4,12,4,1,3,14,3,0,2,5,2,10,2,3,1,4,1,9,1,16,1';  palabras[297] = 'providing,12,9,14,8,0,6,13,6,15,5,1,1,2,1,5,1,7,1,9,1,16,1';  palabras[298] = 'provision,14,3,3,2,15,2,0,1,1,1';  palabras[299] = 'provisions,16,1';  palabras[300] = 'proximity,5,5,0,2';  palabras[301] = 'ps,15,78,5,1';  palabras[302] = 'psychological,14,1';  palabras[303] = 'pubic,15,5';  palabras[304] = 'public,2,77,10,65,15,42,0,29,14,27,13,21,7,19,1,10,3,9,5,8,11,6,12,6,16,5,6,3,8,1,9,1';  palabras[305] = 'publication,14,1';  palabras[306] = 'publicly,3,1,8,1,14,1';  palabras[307] = 'published,2,1';  palabras[308] = 'puerto,5,2,13,2';  palabras[309] = 'purchase,12,28,7,11,0,4,6,3,15,1';  palabras[310] = 'purchased,6,1';  palabras[311] = 'purchasing,5,1';  palabras[312] = 'purpose,12,4,6,3,0,1,3,1,9,1,10,1,14,1';  palabras[313] = 'purposes,5,1,14,1';  palabras[314] = 'pursue,15,2,16,2,3,1,14,1';  palabras[315] = 'pursuing,14,1';  palabras[316] = 'put,14,4,3,1,6,1,12,1';  
break;
case 'q': 
palabras[0] = 'qualified,12,4,14,1';  palabras[1] = 'qualify,6,12,0,1,5,1,14,1';  palabras[2] = 'qualifying,6,1,8,1';  palabras[3] = 'quality,15,15,10,13,14,10,12,7,13,4,16,3,0,2,5,2,6,2,1,1,4,1,8,1';  palabras[4] = 'quantifying,9,1';  palabras[5] = 'quarter,7,10,5,1,6,1';  
break;
case 'r': 
palabras[0] = 'race,4,7,8,7,10,7,2,1';  palabras[1] = 'races,12,2';  palabras[2] = 'racial,7,16,4,1';  palabras[3] = 'rail,5,1';  palabras[4] = 'railroad,5,2';  palabras[5] = 'raise,6,1,7,1,14,1,15,1';  palabras[6] = 'raising,3,1,16,1';  palabras[7] = 'range,7,4,14,2,1,1,5,1,6,1,12,1';  palabras[8] = 'ranges,7,1';  palabras[9] = 'ranging,7,1';  palabras[10] = 'ranked,4,2,8,2,0,1,13,1';  palabras[11] = 'ranking,15,1';  palabras[12] = 'rankings,12,1';  palabras[13] = 'ranks,13,4,4,3';  palabras[14] = 'rapid,4,1,9,1';  palabras[15] = 'rata,9,1';  palabras[16] = 'rate,7,19,6,4,12,2,13,2,15,2,0,1,8,1,9,1,14,1';  palabras[17] = 'rates,7,22,6,11,8,7,12,5,16,2,4,1,5,1,9,1,15,1';  palabras[18] = 'rather,8,5,13,4,9,2,4,1,11,1';  palabras[19] = 'rating,15,1';  palabras[20] = 'ratings,15,1';  palabras[21] = 'ratio,13,10,6,1';  palabras[22] = 'rationale,14,1';  palabras[23] = 'ray,5,1';  palabras[24] = 'razed,5,1,12,1';  palabras[25] = 'rd,5,5';  palabras[26] = 're,9,2';  palabras[27] = 'reach,2,1,13,1';  palabras[28] = 'reaction,12,1,15,1';  palabras[29] = 'readiness,13,4';  palabras[30] = 'reading,13,1';  palabras[31] = 'ready,1,1';  palabras[32] = 'ready",13,1';  palabras[33] = 'real,12,9,0,3,7,1,13,1,14,1';  palabras[34] = 'realistic,14,1';  palabras[35] = 'realization,14,1';  palabras[36] = 'realtors,7,1';  palabras[37] = 'reasonable,5,1,14,1';  palabras[38] = 'reasonableness,16,1';  palabras[39] = 'reassuring,7,1';  palabras[40] = 'rebuilt,5,1';  palabras[41] = 'receive,6,4,12,4,10,3,14,2,2,1,11,1,13,1,15,1';  palabras[42] = 'received,2,4,6,2,5,1,12,1';  palabras[43] = 'receives,6,3,2,1';  palabras[44] = 'receiving,10,8,14,3,11,1';  palabras[45] = 'recent,5,6,7,5,4,2,8,1,9,1,10,1,11,1,16,3';  palabras[46] = 'recently,5,4,11,3,3,1,9,1,12,1';  palabras[47] = 'recertification,12,1';  palabras[48] = 'recession,7,1';  palabras[49] = 'recipient,16,9';  palabras[50] = 'recipients,10,2,14,2,16,2,3,1,8,1';  palabras[51] = 'recognition,14,1';  palabras[52] = 'recognize,14,1,15,1';  palabras[53] = 'recognized,14,4';  palabras[54] = 'recognizes,5,1,14,1';  palabras[55] = 'recommend,15,1';  palabras[56] = 'recommendations,12,16,0,13,15,12,9,8,1,5,5,5,2,1,13,1,16,3';  palabras[57] = 'recommended,5,2,12,2,0,1';  palabras[58] = 'reconnected,5,1';  palabras[59] = 'reconstruction,15,2,0,1,5,1,12,1,14,1';  palabras[60] = 'record,5,1';  palabras[61] = 'recreation,14,6,3,3,15,2,0,1,13,1';  palabras[62] = 'recreational,15,2,5,1,13,1,14,1';  palabras[63] = 'recruit,15,1';  palabras[64] = 'recruitment,15,2';  palabras[65] = 'rectify,12,1,14,1';  palabras[66] = 'redeveloped,5,1,7,1';  palabras[67] = 'redeveloping,5,1';  palabras[68] = 'redevelopment,5,8,3,3,0,1,7,1,12,1';  palabras[69] = 'redlining,13,1';  palabras[70] = 'reduce,12,17,11,13,14,7,9,5,13,4,15,3,2,2,3,2,4,2,0,1,1,1,6,1';  palabras[71] = 'reducing,11,6,12,4,0,2,3,1,13,1,14,1';  palabras[72] = 'reduction,11,7,12,4,14,3,0,2,2,2,3,2,6,1,9,1,15,1';  palabras[73] = 'reenergize,5,1';  palabras[74] = 'refer,12,1';  palabras[75] = 'refering,0,1';  palabras[76] = 'referral,12,6,9,1';  palabras[77] = 'referrals,14,2,12,1';  palabras[78] = 'referred,1,1,5,1,9,1,12,1';  palabras[79] = 'referring,12,2';  palabras[80] = 'refers,13,1';  palabras[81] = 'refinance,7,2';  palabras[82] = 'refinancing,6,2';  palabras[83] = 'refining,9,1';  palabras[84] = 'reflect,5,3,12,2,13,2,6,1,7,1';  palabras[85] = 'reflected,7,1';  palabras[86] = 'reflection,2,1';  palabras[87] = 'reflective,1,2,2,1,3,1,14,1';  palabras[88] = 'reflects,7,1';  palabras[89] = 'reform,13,1,14,1';  palabras[90] = 'reforms,13,7';  palabras[91] = 'refuge,4,1';  palabras[92] = 'regard,8,1';  palabras[93] = 'regarded,12,1';  palabras[94] = 'regarding,2,4,3,1,8,1,11,1';  palabras[95] = 'regardless,8,3,10,1,12,1';  palabras[96] = 'regional,9,3,5,1,13,1';  palabras[97] = 'regions,3,1,13,1';  palabras[98] = 'regular,10,2';  palabras[99] = 'regularly,8,1';  palabras[100] = 'regulated,7,1';  palabras[101] = 'regulating,7,1';  palabras[102] = 'regulation,16,1';  palabras[103] = 'regulations,15,13,12,8,14,5,16,5,1,3,0,1,8,1';  palabras[104] = 'regulatory,1,8,16,2,3,1';  palabras[105] = 'rehab,12,22,0,2,14,2';  palabras[106] = 'rehabbed,14,1';  palabras[107] = 'rehabilitate,12,2,0,1,5,1';  palabras[108] = 'rehabilitated,6,2,12,1';  palabras[109] = 'rehabilitation,12,23,6,15,13,7,14,7,10,4,0,3,15,3,5,2,7,2,16,1';  palabras[110] = 'rehearsal,5,1';  palabras[111] = 'reimbursement,16,5,15,3';  palabras[112] = 'reinhold,7,1';  palabras[113] = 'reinvestment,7,1,13,1';  palabras[114] = 'rejection,8,1,12,1';  palabras[115] = 'relate,9,1';  palabras[116] = 'related,8,9,6,4,7,2,14,2,0,1,2,1,4,1,9,1,11,1,15,1';  palabras[117] = 'relation,8,1';  palabras[118] = 'relationship,3,4';  palabras[119] = 'relationships,5,2,3,1';  palabras[120] = 'relative,0,1,12,1';  palabras[121] = 'relatively,5,1,7,1';  palabras[122] = 'release,9,4';  palabras[123] = 'released,9,2';  palabras[124] = 'releases,9,1,11,1';  palabras[125] = 'relevant,1,2,6,1,7,1';  palabras[126] = 'reliability,16,1';  palabras[127] = 'religion,10,1';  palabras[128] = 'religious,13,1';  palabras[129] = 'relining,13,1';  palabras[130] = 'relocation,11,6,12,1';  palabras[131] = 'reluctant,7,1';  palabras[132] = 'rely,13,1';  palabras[133] = 'remain,7,5,6,2,12,2,0,1,1,1,8,1';  palabras[134] = 'remainder,13,1';  palabras[135] = 'remaining,4,1,8,1,9,1,12,1,15,1';  palabras[136] = 'remains,5,1,7,1,8,1,12,1';  palabras[137] = 'remedial,13,3';  palabras[138] = 'remediation,6,1';  palabras[139] = 'remodeled,11,3';  palabras[140] = 'removal,0,3,5,3,12,2,2,1';  palabras[141] = 'remove,12,1';  palabras[142] = 'renaissance,5,1';  palabras[143] = 'renamed,5,1';  palabras[144] = 'rendered,16,1';  palabras[145] = 'rendering,14,1';  palabras[146] = 'renewal,5,1,14,1';  palabras[147] = 'renewed,4,1,10,1,12,1';  palabras[148] = 'renovation,13,3,14,2';  palabras[149] = 'renovations,15,1';  palabras[150] = 'rent,8,17,7,7,12,3,6,1';  palabras[151] = 'rental,12,84,7,72,0,26,6,13,10,6,8,3,2,1,9,1';  palabras[152] = 'rentals,7,9';  palabras[153] = 'rented,8,3,0,1';  palabras[154] = 'renter,6,4,7,3,8,3';  palabras[155] = 'renters,6,27,8,14,0,3,12,2';  palabras[156] = 'rents,7,14,12,2,0,1';  palabras[157] = 'reopen,5,1';  palabras[158] = 'repair,15,2,0,1,5,1,12,1,13,1,16,1';  palabras[159] = 'repairs,12,4,0,1,6,1,14,1';  palabras[160] = 'repeat,16,1';  palabras[161] = 'repeatedly,0,1,15,1';  palabras[162] = 'replace,12,5,0,1,14,1,15,1';  palabras[163] = 'replaced,0,1,1,1,5,1,7,6';  palabras[164] = 'replacement,10,2,12,2,0,1,15,1';  palabras[165] = 'replaces,0,1';  palabras[166] = 'replacing,12,1,14,1';  palabras[167] = 'report,1,3,16,2,2,1,3,1,6,1,7,1,8,1,11,1,12,1';  palabras[168] = 'reported,11,5,7,2,8,1,16,1';  palabras[169] = 'reporting,16,1';  palabras[170] = 'reports,16,4,11,1,14,1';  palabras[171] = 'represent,6,11,10,5,8,4,13,4,3,1,9,1,12,1';  palabras[172] = 'representation,2,1,6,1,13,1';  palabras[173] = 'representatives,3,1';  palabras[174] = 'represented,5,3,7,2,8,2,9,1,11,1';  palabras[175] = 'representing,6,4,10,2,0,1,7,1,11,1,13,1';  palabras[176] = 'represents,8,6,7,3,5,2,4,1,9,1,10,1';  palabras[177] = 'reputation,5,1';  palabras[178] = 'request,2,5,14,2,16,2,3,1';  palabras[179] = 'requests,16,1';  palabras[180] = 'require,13,7,8,1,12,1,14,1';  palabras[181] = 'required,12,4,8,2,9,2,10,2,13,2,0,1,1,1,7,1,11,1,14,1,15,1,16,1';  palabras[182] = 'requirement,16,2';  palabras[183] = 'requirements,16,9,12,6,6,2,14,2,0,1,7,1,10,1,13,1,15,1';  palabras[184] = 'requires,16,3,12,2,7,1';  palabras[185] = 'requiring,3,1,16,1';  palabras[186] = 'requisite,14,1';  palabras[187] = 'research,1,1,5,1,7,1,14,1,15,1';  palabras[188] = 'researched,1,1';  palabras[189] = 'reserved,8,1';  palabras[190] = 'reside,12,3,8,2,13,2,0,1,11,1';  palabras[191] = 'residence,12,2,8,1';  palabras[192] = 'resident,10,1,14,1';  palabras[193] = 'residential,5,7,14,5,7,2,12,2,10,1';  palabras[194] = 'residents,12,33,2,27,0,15,5,10,4,9,14,9,15,9,6,8,7,8,8,4,10,4,13,3,1,2,3,2,16,2,9,1';  palabras[195] = 'resides,9,1,12,1';  palabras[196] = 'residing,10,3,7,1,11,6';  palabras[197] = 'resistant,9,1';  palabras[198] = 'resolution,5,1';  palabras[199] = 'resolve,15,1';  palabras[200] = 'resolved,5,1';  palabras[201] = 'resource,5,1';  palabras[202] = 'resources,12,12,15,9,5,8,3,6,13,4,0,3,1,3,14,3,6,2,9,2,16,1';  palabras[203] = 'respect,1,1,9,1';  palabras[204] = 'respective,1,2,6,1,12,1';  palabras[205] = 'respectively,13,2,6,1';  palabras[206] = 'respond,0,1,3,1';  palabras[207] = 'responded,8,1';  palabras[208] = 'respondent,8,2';  palabras[209] = 'respondents,8,2,9,1';  palabras[210] = 'response,2,2,14,1,15,1';  palabras[211] = 'responsibilities,9,1,16,1';  palabras[212] = 'responsibility,16,2,13,1';  palabras[213] = 'responsible,0,2,6,2,9,2,10,2,14,2,1,1,12,1';  palabras[214] = 'responsive,14,4,15,3,0,1,1,1';  palabras[215] = 'rest,5,1';  palabras[216] = 'restaurants,5,6';  palabras[217] = 'restoration,15,4,5,1';  palabras[218] = 'restore,0,1,14,1,15,1';  palabras[219] = 'restored,15,1';  palabras[220] = 'restoring,14,2,5,1';  palabras[221] = 'restrict,16,1';  palabras[222] = 'restricted,7,1';  palabras[223] = 'restrictions,6,3';  palabras[224] = 'result,14,5,1,4,4,4,3,3,13,3,0,2,5,2,7,1,12,1,15,1,16,1';  palabras[225] = 'resulting,2,1,6,1,16,1';  palabras[226] = 'results,8,1,9,1,13,1,16,1';  palabras[227] = 'retail,5,6,13,3,14,1';  palabras[228] = 'retain,12,4,0,2,15,2,4,1,6,1,13,1,14,1';  palabras[229] = 'retained,14,1';  palabras[230] = 'retention,13,14,12,12,15,9,0,8,14,8,3,1';  palabras[231] = 'retirement,10,1';  palabras[232] = 'return,12,2';  palabras[233] = 'reuse,5,1';  palabras[234] = 'reveal,4,1';  palabras[235] = 'revealed,7,1,11,1,13,1';  palabras[236] = 'revenues,5,2';  palabras[237] = 'reversing,0,1,15,1';  palabras[238] = 'review,16,7,2,1,3,1,7,1,10,1,12,1';  palabras[239] = 'reviewed,16,2,2,1';  palabras[240] = 'reviews,16,7';  palabras[241] = 'revised,5,1';  palabras[242] = 'revisited,5,1';  palabras[243] = 'revitalization,5,16,0,14,12,12,14,8,13,6,15,6,7,3,1,2,2,1,3,1,4,1,10,1';  palabras[244] = 'revitalize,5,3,13,2,4,1,12,1,15,1';  palabras[245] = 'revitalizing,6,1,13,1';  palabras[246] = 'revival,5,1';  palabras[247] = 'rfp,12,10,14,2,0,1,2,1,3,1,15,1';  palabras[248] = 'rh,12,39';  palabras[249] = 'rican,13,2,5,1';  palabras[250] = 'rich,13,2,5,1';  palabras[251] = 'richard,5,1';  palabras[252] = 'richness,5,1';  palabras[253] = 'rico,5,1';  palabras[254] = 'ridden,5,1';  palabras[255] = 'right,5,2,13,1,15,1';  palabras[256] = 'rights,5,1,12,1,14,1';  palabras[257] = 'rigorous,12,1,14,1';  palabras[258] = 'rise,5,2,13,1';  palabras[259] = 'rising,7,1';  palabras[260] = 'risk,11,16,6,3,13,2,0,1';  palabras[261] = 'risks,11,2,0,1';  palabras[262] = 'river,5,32,7,6,0,3,6,2,11,2,12,1,13,1';  palabras[263] = 'rizo,16,1';  palabras[264] = 'road,5,2';  palabras[265] = 'roads,5,1';  palabras[266] = 'roadways,12,1,14,1';  palabras[267] = 'roberto,5,1';  palabras[268] = 'role,0,1,1,1,7,1,15,1';  palabras[269] = 'room,5,2,6,2,9,1';  palabras[270] = 'rooming,5,1';  palabras[271] = 'roots,1,1,14,1';  palabras[272] = 'roundtable,15,1';  palabras[273] = 'route,3,1,5,1';  palabras[274] = 'rule,1,2';  palabras[275] = 'rules,16,2,0,1,10,1,12,1';  palabras[276] = 'run,5,1';  palabras[277] = 'rungs,1,1';  palabras[278] = 'runs,5,1';  
break;
case 's': 
palabras[0] = 's,7,64,14,40,5,27,6,26,8,19,12,17,9,16,13,15,4,13,3,12,0,11,16,11,15,9,10,7,1,6,2,5,11,3';  palabras[1] = 'safe,10,6,9,5,12,5,15,4,6,2';  palabras[2] = 'safeguard,15,1';  palabras[3] = 'safeguarding,3,1,14,1';  palabras[4] = 'safer,14,2';  palabras[5] = 'safety,14,4,15,4,0,2,1,1,3,1,12,1';  palabras[6] = 'sagging,5,1';  palabras[7] = 'said,2,6';  palabras[8] = 'sail,6,4';  palabras[9] = 'salaries,12,1,14,1';  palabras[10] = 'sale,7,11,0,1';  palabras[11] = 'sales,7,4,0,1,13,1';  palabras[12] = 'salons,13,2';  palabras[13] = 'salvage,14,1';  palabras[14] = 'same,8,6,4,2,7,2,5,1,6,1';  palabras[15] = 'san,5,1,13,1';  palabras[16] = 'sanctions,16,1';  palabras[17] = 'sanitary,6,1,12,1';  palabras[18] = 'satisfaction,10,2';  palabras[19] = 'satisfy,6,1';  palabras[20] = 'satisfying,16,1';  palabras[21] = 'saturation,7,1';  palabras[22] = 'save,12,2,0,1';  palabras[23] = 'saving,12,2';  palabras[24] = 'savings,12,2';  palabras[25] = 'say,5,1';  palabras[26] = 'scale,12,4,0,1,13,1,15,1';  palabras[27] = 'scaled,12,1';  palabras[28] = 'scaling,11,1';  palabras[29] = 'scarcity,12,1';  palabras[30] = 'scattered,5,1,12,1,13,1';  palabras[31] = 'scenario,14,1';  palabras[32] = 'scenarios,5,1';  palabras[33] = 'scheduled,2,3';  palabras[34] = 'schedules,2,1';  palabras[35] = 'scheduling,2,1';  palabras[36] = 'school,13,7,4,2,14,2,5,1,9,1,12,1';  palabras[37] = 'schools,13,2,11,1,12,1';  palabras[38] = 'scope,16,2,5,1';  palabras[39] = 'score,10,2';  palabras[40] = 'scored,13,1';  palabras[41] = 'scott,5,1';  palabras[42] = 'screen,11,1';  palabras[43] = 'screening,11,1,12,1,13,1';  palabras[44] = 'screenings,11,1';  palabras[45] = 'sculpture,5,1';  palabras[46] = 'sds,12,1';  palabras[47] = 'seaport,4,1,5,1';  palabras[48] = 'searches,12,1';  palabras[49] = 'sec,14,3';  palabras[50] = 'second,12,6,5,5,4,2,7,2,10,2,13,2,0,1,2,1,6,1';  palabras[51] = 'section,10,19,6,17,12,16,16,13,14,8,5,6,1,3,13,3,3,2,2,1,4,1,7,1,8,1';  palabras[52] = 'section",7,1';  palabras[53] = 'section8,12,2';  palabras[54] = 'sections,1,3,6,1,7,1,8,1,13,1';  palabras[55] = 'sector,7,6,13,5,0,2,3,1,5,1,12,1,14,1,15,1';  palabras[56] = 'sectors,13,5,15,1,16,1';  palabras[57] = 'secure,14,3,12,2,15,2,1,1,16,1';  palabras[58] = 'secured,9,1,14,1';  palabras[59] = 'secures,14,2';  palabras[60] = 'securing,8,8,12,4,14,3,0,1,3,1,15,1';  palabras[61] = 'security,10,3,6,1';  palabras[62] = 'see,7,7,2,4,13,4,8,3,0,1,5,1,6,1';  palabras[63] = 'seeing,2,1';  palabras[64] = 'seek,12,6,0,3,13,2,3,1,14,1';  palabras[65] = 'seeking,0,3,12,3,13,2,14,2,15,2';  palabras[66] = 'seeks,12,2,14,2,0,1,1,1,5,1,6,1,13,1,15,1';  palabras[67] = 'seem,8,1,10,1';  palabras[68] = 'seen,5,1,11,1,13,1';  palabras[69] = 'segment,13,4,14,2';  palabras[70] = 'segments,13,2,14,1';  palabras[71] = 'segregated,2,1';  palabras[72] = 'segregation,4,7,5,1';  palabras[73] = 'seizures,11,6';  palabras[74] = 'select,5,3,12,1';  palabras[75] = 'selected,5,2,2,1,15,1';  palabras[76] = 'selecting,0,1';  palabras[77] = 'selection,0,1';  palabras[78] = 'self,10,6,13,3,15,2,12,1,14,1';  palabras[79] = 'sell,6,1';  palabras[80] = 'semiskilled,5,1';  palabras[81] = 'semp,10,3';  palabras[82] = 'sending,13,1';  palabras[83] = 'senior,14,2,1,1,5,1,12,1,13,1,15,1';  palabras[84] = 'seniors,13,4,14,3,0,1';  palabras[85] = 'sense,13,2';  palabras[86] = 'sensitive,2,1';  palabras[87] = 'separate,2,1';  palabras[88] = 'separately,9,1';  palabras[89] = 'series,14,3,1,2,2,1';  palabras[90] = 'serious,11,13,15,1';  palabras[91] = 'serve,8,8,5,5,6,4,7,3,14,3,0,2,1,2,3,2,9,2,10,2,12,2,2,1,13,1';  palabras[92] = 'served,9,4,10,4,0,2,3,1,5,1,12,1,14,1,15,1';  palabras[93] = 'serves,9,3,0,2,5,2,6,2,8,2,14,2,1,1,3,1,4,1,13,1,16,1';  palabras[94] = 'service,15,22,2,13,13,13,7,9,14,9,3,6,0,3,4,2,5,2,16,2,1,1,9,1';  palabras[95] = 'services,14,50,15,49,13,39,12,24,0,19,8,19,9,18,1,8,2,6,3,6,6,5,5,3,10,2,16,2,4,1,7,1';  palabras[96] = 'serving,9,5,0,2,8,2,12,2,5,1,6,1';  palabras[97] = 'sessions,2,3,12,1';  palabras[98] = 'set,12,10,14,4,0,3,1,3,5,2,3,1,9,1,16,1';  palabras[99] = 'setback,12,2';  palabras[100] = 'sets,1,1,9,1,13,1';  palabras[101] = 'setting,7,1,13,1,15,1';  palabras[102] = 'settled,5,2';  palabras[103] = 'settlement,5,1';  palabras[104] = 'settlers,5,1';  palabras[105] = 'settling,4,1';  palabras[106] = 'seven,0,1,5,1,7,1,11,1';  palabras[107] = 'several,7,4,11,2,0,1,2,1,3,1,6,1,12,1,13,1';  palabras[108] = 'severe,6,2,13,1';  palabras[109] = 'severely,6,20,9,1,14,1';  palabras[110] = 'severity,5,1,6,1';  palabras[111] = 'sewer,13,2';  palabras[112] = 'sex,10,1';  palabras[113] = 'shape,3,1,5,1';  palabras[114] = 'shaped,4,1,16,1';  palabras[115] = 'shaping,5,1';  palabras[116] = 'share,13,4,4,3,12,2,9,1';  palabras[117] = 'shared,14,2,8,1';  palabras[118] = 'shares,14,2';  palabras[119] = 'sharing,6,3,8,2,3,1,14,1';  palabras[120] = 'sharply,5,1';  palabras[121] = 'sheet,2,1';  palabras[122] = 'sheets,2,2';  palabras[123] = 'shelter,9,11,6,3,0,1,1,1,2,1';  palabras[124] = 'sheltered,9,4';  palabras[125] = 'shelters,9,9,6,2';  palabras[126] = 'shift,5,1,7,1,8,1,13,1';  palabras[127] = 'shifts,7,1';  palabras[128] = 'shimberg,6,1';  palabras[129] = 'ship,12,6,6,5';  palabras[130] = 'shipyards,5,1';  palabras[131] = 'shop,5,1';  palabras[132] = 'shoppers,5,1';  palabras[133] = 'shopping,5,2';  palabras[134] = 'shops,5,5';  palabras[135] = 'shoreline,5,1';  palabras[136] = 'short,12,2';  palabras[137] = 'shortage,12,3,0,1,13,1';  palabras[138] = 'shortfalls,3,2';  palabras[139] = 'should,12,16,13,13,8,7,6,6,0,4,7,3,9,3,10,2,16,2,2,1,3,1,4,1';  palabras[140] = 'show,6,10,8,3,7,2,13,2,0,1,10,1,11,1';  palabras[141] = 'showcase,14,1';  palabras[142] = 'showcasing,5,1';  palabras[143] = 'showed,7,3,12,1';  palabras[144] = 'showing,11,2,8,1,9,1';  palabras[145] = 'shown,7,4,8,4,12,1';  palabras[146] = 'showrooms,5,1';  palabras[147] = 'shows,7,2';  palabras[148] = 'shut,5,1';  palabras[149] = 'shutters,14,1';  palabras[150] = 'side,6,1,7,1';  palabras[151] = 'sidewalk,5,1,15,1';  palabras[152] = 'sidewalks,13,2,0,1,5,1,7,1,14,1,15,1';  palabras[153] = 'sign,2,1,11,1';  palabras[154] = 'signage,13,3';  palabras[155] = 'significance,14,1,15,1';  palabras[156] = 'significant,7,22,14,4,5,2,12,2,13,2,0,1,9,1,16,1';  palabras[157] = 'significantly,7,4,0,1,6,1,9,1,12,1,13,1,14,1';  palabras[158] = 'signifies,15,1';  palabras[159] = 'signs,13,3,12,1,14,1,15,1';  palabras[160] = 'similar,5,3,7,1,9,1,12,1';  palabras[161] = 'simplify,12,2';  palabras[162] = 'simplifying,12,1';  palabras[163] = 'simultaneously,14,2,15,2,12,1,13,1';  palabras[164] = 'since,7,11,5,4,6,4,4,3,9,2,12,2,13,2,0,1,2,1,11,1';  palabras[165] = 'single,7,26,8,25,12,7,6,5,0,4,1,2,5,2,9,2,13,2,3,1,14,1';  palabras[166] = 'singles,8,6';  palabras[167] = 'site,5,5,12,3,13,3,8,2,14,2';  palabras[168] = 'sites,9,6,15,3,13,2,0,1,2,1,5,1,12,1,14,1';  palabras[169] = 'situation,14,1';  palabras[170] = 'six,11,12,7,3,6,2,8,1';  palabras[171] = 'size,6,8,14,4,3,1,12,1';  palabras[172] = 'skill,13,3';  palabras[173] = 'skilled,4,1,13,1,14,1,16,1';  palabras[174] = 'skills,14,5,4,4,13,4,5,3,15,2,6,1,7,1,9,1';  palabras[175] = 'slight,8,2,6,1';  palabras[176] = 'slightly,7,1,8,1';  palabras[177] = 'slum,5,3,0,2,2,2,12,1,13,1';  palabras[178] = 'small,6,10,14,8,15,6,0,5,12,5,5,3,13,3,1,1,8,1,10,1,16,1';  palabras[179] = 'smaller,6,3,5,2,7,2,12,1,13,1';  palabras[180] = 'sn,12,150';  palabras[181] = 'snapshot,16,1';  palabras[182] = 'so,8,9,3,2,0,1,6,1,14,1,15,1';  palabras[183] = 'soccer,5,1';  palabras[184] = 'social,13,10,14,9,5,8,2,7,9,7,15,7,3,4,0,3,6,3,10,3,12,3,1,2,4,2';  palabras[185] = 'socializing,5,1';  palabras[186] = 'soft,12,3,6,1';  palabras[187] = 'solely,6,1,8,1';  palabras[188] = 'solicit,2,1,3,1';  palabras[189] = 'solicited,2,1';  palabras[190] = 'solid,14,7,3,3,12,1';  palabras[191] = 'solution,12,1';  palabras[192] = 'solutions,0,1,15,1';  palabras[193] = 'solvency,14,1';  palabras[194] = 'solving,3,1';  palabras[195] = 'some,5,8,8,6,11,6,13,6,6,5,14,5,12,4,1,2,0,1,7,1';  palabras[196] = 'something,14,1';  palabras[197] = 'sometimes,5,1,6,1,13,1';  palabras[198] = 'somewhat,10,1';  palabras[199] = 'sought,3,1,4,1,12,1,14,1';  palabras[200] = 'sound,15,2,16,2';  palabras[201] = 'soundness,14,1';  palabras[202] = 'source,12,51,15,51,1,1,13,1';  palabras[203] = 'sources,6,15,12,3,14,1,15,1';  palabras[204] = 'south,5,32,7,5,4,1,8,1,13,1';  palabras[205] = 'southeast,5,1';  palabras[206] = 'southeasterly,5,1';  palabras[207] = 'southeastern,5,1';  palabras[208] = 'southern,2,1,4,1,7,1';  palabras[209] = 'space,5,3,14,1,15,1';  palabras[210] = 'spaces,5,1,14,1';  palabras[211] = 'spanish,2,2';  palabras[212] = 'spatial,1,1,12,1';  palabras[213] = 'speak,4,2,2,1';  palabras[214] = 'speaking,2,3,12,1';  palabras[215] = 'special,12,46,8,37,2,15,0,10,13,10,14,8,6,4,15,4,5,3,7,2,3,1,9,1,11,1';  palabras[216] = 'specialist,12,1';  palabras[217] = 'specialists,12,1';  palabras[218] = 'specialized,9,1,13,1';  palabras[219] = 'specializing,0,1,12,1';  palabras[220] = 'specialty,5,1';  palabras[221] = 'specific,12,4,13,4,15,3,0,2,1,2,6,2,8,2,14,2,3,1';  palabras[222] = 'specifically,12,4,5,3,0,2,14,2,2,1,7,1,13,1';  palabras[223] = 'specified,12,1';  palabras[224] = 'specify,2,1';  palabras[225] = 'spend,14,1';  palabras[226] = 'spending,6,4';  palabras[227] = 'spent,5,1,13,1,14,1';  palabras[228] = 'spillover,5,1';  palabras[229] = 'spirit,1,2';  palabras[230] = 'split,7,1';  palabras[231] = 'sponsor,15,2';  palabras[232] = 'sponsors,7,1';  palabras[233] = 'sponsorship,14,1';  palabras[234] = 'spot,5,1';  palabras[235] = 'spring,14,1';  palabras[236] = 'sprout,14,2,15,1';  palabras[237] = 'spur,5,1,13,1';  palabras[238] = 'spurred,4,1';  palabras[239] = 'square,5,6,7,2,4,1,14,1';  palabras[240] = 'sr,5,1';  palabras[241] = 'ssa,14,1';  palabras[242] = 'ssi,14,1';  palabras[243] = 'st,5,2';  palabras[244] = 'stability,9,3,12,3,14,3,15,2,0,1';  palabras[245] = 'stabilization,0,1,7,1,12,1,14,1';  palabras[246] = 'stabilize,5,1,12,1,15,1';  palabras[247] = 'stable,1,1,5,1,15,1';  palabras[248] = 'staff,5,2,14,2,3,1,8,1,16,1';  palabras[249] = 'stages,5,1,14,1,15,1';  palabras[250] = 'stake,7,1';  palabras[251] = 'stakeholder,3,1';  palabras[252] = 'stakeholders,2,9,14,2,9,1,12,1,13,1';  palabras[253] = 'stamps,14,1';  palabras[254] = 'stand,5,1,9,1';  palabras[255] = 'standard,6,2,7,1,10,1,12,1';  palabras[256] = 'standards,16,7,12,4,6,2,13,2,0,1,1,1,3,1,5,1,7,1,15,1';  palabras[257] = 'standing,12,1';  palabras[258] = 'star,5,1';  palabras[259] = 'starkly,14,1';  palabras[260] = 'stars,5,1';  palabras[261] = 'start,15,10,14,4,0,1,12,1,13,1';  palabras[262] = 'started,7,1';  palabras[263] = 'starting,0,1,7,1';  palabras[264] = 'starts,7,4,12,1';  palabras[265] = 'startup,15,1';  palabras[266] = 'state,6,12,4,8,5,5,9,5,12,5,14,4,0,2,1,1,3,1,13,1,15,1,16,1';  palabras[267] = 'stated,8,3,0,1,14,1,16,1';  palabras[268] = 'statement,0,1,2,1';  palabras[269] = 'statements,2,1,16,1';  palabras[270] = 'states,1,4,14,2,4,1,5,1,6,1,13,1';  palabras[271] = 'station,5,2';  palabras[272] = 'stations,5,1';  palabras[273] = 'statistical,0,1,5,1,7,1';  palabras[274] = 'statistics,6,1,9,1';  palabras[275] = 'stats,3,3';  palabras[276] = 'status,4,2,8,2,10,1,12,1';  palabras[277] = 'statutory,16,1';  palabras[278] = 'steady,7,2,4,1,5,1,14,1';  palabras[279] = 'stemming,5,1';  palabras[280] = 'step,5,1';  palabras[281] = 'steps,11,6,13,1,14,1';  palabras[282] = 'still,5,4,8,4,7,3,3,1,4,1,10,1,13,1';  palabras[283] = 'stimulate,12,20,0,10,13,5,7,2,5,1';  palabras[284] = 'stimulated,4,1';  palabras[285] = 'stimulating,12,3,0,2,5,2,14,1';  palabras[286] = 'stimulation,14,1,15,1';  palabras[287] = 'stimulus,13,1,14,1';  palabras[288] = 'stipulated,1,3,16,1';  palabras[289] = 'stipulates,2,1';  palabras[290] = 'stipulations,9,6';  palabras[291] = 'stock,7,32,12,13,0,11,5,5,3,1,6,1,8,1';  palabras[292] = 'stop,14,1';  palabras[293] = 'store,14,1';  palabras[294] = 'storefront,13,1';  palabras[295] = 'storefronts,15,1';  palabras[296] = 'stores,5,3,13,1';  palabras[297] = 'storm,13,2';  palabras[298] = 'story,5,1';  palabras[299] = 'strain,14,1';  palabras[300] = 'strategic,3,7,12,6,0,3,1,3,7,3,15,3,10,1,13,1,14,1';  palabras[301] = 'strategically,1,1,14,1';  palabras[302] = 'strategies,12,44,11,12,9,4,13,4,0,3,3,3,2,2,14,1,15,1';  palabras[303] = 'strategizing,9,1';  palabras[304] = 'strategy,12,118,15,72,9,65,10,33,14,28,11,18,0,10,13,7,1,5,3,5,5,2,4,1,16,1';  palabras[305] = 'stream,5,1';  palabras[306] = 'streamline,12,4,0,1,14,1';  palabras[307] = 'streamlined,10,1';  palabras[308] = 'streamlining,12,2,16,1';  palabras[309] = 'street,5,73,9,12,13,7,12,4,15,2,14,1';  palabras[310] = 'streets,5,4,14,3,7,2,0,1,9,1,15,1';  palabras[311] = 'streetscape,5,3,13,3,0,1,7,1,12,1,14,1';  palabras[312] = 'streetscapes,13,2';  palabras[313] = 'strengthen,12,2,3,1';  palabras[314] = 'strengthening,9,1';  palabras[315] = 'strengths,3,1';  palabras[316] = 'stretch,5,2';  palabras[317] = 'stricken,14,2,12,1,15,1';  palabras[318] = 'strict,6,1';  palabras[319] = 'strip,5,1';  palabras[320] = 'strive,3,1,12,1';  palabras[321] = 'strives,14,2,0,1,1,1,15,1';  palabras[322] = 'striving,14,2';  palabras[323] = 'strong,13,3,8,2,12,1';  palabras[324] = 'strongly,7,1';  palabras[325] = 'structural,8,1,13,1';  palabras[326] = 'structure,3,18,7,4,12,2,14,1,15,1';  palabras[327] = 'structured,15,1';  palabras[328] = 'structures,7,16,12,14,0,2,15,2,5,1,11,1,13,1';  palabras[329] = 'structures",7,2,0,1';  palabras[330] = 'students,5,2';  palabras[331] = 'studies,14,2,0,1,1,1,11,1,13,1,15,1';  palabras[332] = 'studio,5,1';  palabras[333] = 'study,7,36,0,9,13,5,5,2,12,2,6,1';  palabras[334] = 'style,5,2,13,1';  palabras[335] = 'sub,16,8,7,3,3,1,9,1';  palabras[336] = 'subgroup,14,1';  palabras[337] = 'subgroups,14,1';  palabras[338] = 'subject,1,3,16,2,10,1';  palabras[339] = 'subjugated,14,1';  palabras[340] = 'submarkets,7,6';  palabras[341] = 'submission,16,2,0,1,12,1';  palabras[342] = 'submissions,16,1';  palabras[343] = 'submit,1,4,2,4,16,2,0,1';  palabras[344] = 'submitted,0,2,10,1';  palabras[345] = 'subpopulations,9,1,13,1';  palabras[346] = 'subprime,7,1';  palabras[347] = 'subrecipients,3,1';  palabras[348] = 'subsequent,7,3,14,2,3,1,5,1,6,1,16,1';  palabras[349] = 'subsidies,8,2,14,2,6,1,10,1,12,1,13,1';  palabras[350] = 'subsidized,12,1';  palabras[351] = 'subsidy,12,4,10,2,6,1,8,1,13,1';  palabras[352] = 'substance,15,8,0,1,13,1,14,1';  palabras[353] = 'substandard,6,8,5,2,0,1';  palabras[354] = 'substantial,5,4,6,2,0,1,7,1,9,1,12,1';  palabras[355] = 'substantially,7,2';  palabras[356] = 'subtle,13,1';  palabras[357] = 'suburbs,7,1';  palabras[358] = 'success,5,3,1,1,13,1,14,1,16,1';  palabras[359] = 'successes,15,1';  palabras[360] = 'successful,13,3,5,1,6,1,12,1,14,1,15,1';  palabras[361] = 'successfully,7,1,9,1';  palabras[362] = 'such,12,22,13,20,14,9,5,8,15,7,11,6,0,5,3,5,6,5,4,4,7,2,16,2,1,1,8,1,9,1,10,1';  palabras[363] = 'sufficiency,10,6,13,2,15,2,14,1';  palabras[364] = 'sufficient,12,1';  palabras[365] = 'suggest,6,3,8,1';  palabras[366] = 'suggestions,2,2';  palabras[367] = 'suggests,6,1,13,1';  palabras[368] = 'suitable,0,1,2,1,5,1,10,1,12,1,14,1,15,1';  palabras[369] = 'summarize,0,1,9,1';  palabras[370] = 'summarizes,6,1,13,1';  palabras[371] = 'summary,0,13,2,2,8,2,10,2';  palabras[372] = 'sunset,7,1';  palabras[373] = 'super,5,1';  palabras[374] = 'superb,14,1';  palabras[375] = 'superior,14,1';  palabras[376] = 'supermarkets,5,1';  palabras[377] = 'supernofa,9,1';  palabras[378] = 'supervised,14,1,15,1';  palabras[379] = 'supervision,14,1';  palabras[380] = 'supplement,14,2';  palabras[381] = 'supplemented,0,1,12,1';  palabras[382] = 'supplements,14,1';  palabras[383] = 'supplies,5,1,13,1';  palabras[384] = 'supply,7,15,10,6,12,6,9,4,6,3,15,1';  palabras[385] = 'support,15,21,14,17,12,12,13,12,5,4,3,3,0,2,16,2,6,1,7,1,8,1';  palabras[386] = 'supported,14,2,15,1';  palabras[387] = 'supporting,14,5,15,3,12,2,5,1';  palabras[388] = 'supportive,15,3,9,2,10,2,1,1,8,1,12,1,14,1';  palabras[389] = 'supports,14,1';  palabras[390] = 'supposed,13,1';  palabras[391] = 'sure,12,1,16,1';  palabras[392] = 'surge,7,8,12,1';  palabras[393] = 'surplus,12,1';  palabras[394] = 'surrounding,5,8,7,1,12,1';  palabras[395] = 'surtax,12,3,10,2';  palabras[396] = 'survey,8,2,7,1,9,1';  palabras[397] = 'surveyed,8,2';  palabras[398] = 'surveys,9,3,0,1,10,1,15,1';  palabras[399] = 'survive,13,1';  palabras[400] = 'surviving,8,1';  palabras[401] = 'sustain,15,8,14,2,12,1,16,1';  palabras[402] = 'sustainability,14,1';  palabras[403] = 'sustainable,5,4';  palabras[404] = 'sustained,0,1,5,1,7,1,14,1';  palabras[405] = 'sustaining,14,2,13,1';  palabras[406] = 'sustains,15,1';  palabras[407] = 'sw,5,9';  palabras[408] = 'sweepers,14,1';  palabras[409] = 'swing,7,1';  palabras[410] = 'symbolize,1,1';  palabras[411] = 'symbolizing,5,1';  palabras[412] = 'synchronize,3,1,14,1';  palabras[413] = 'syndrome,6,1,8,1';  palabras[414] = 'synthesize,1,1';  palabras[415] = 'system,14,7,16,4,5,3,9,2,0,1,12,1,13,1,15,1';  palabras[416] = 'systems,9,2,14,1';  
break;
case 't': 
palabras[0] = 'table,7,16,2,5,8,4,6,2,11,2,1,1,3,1,9,1,10,1,12,1,13,1';  palabras[1] = 'tables,5,1,6,1,7,1,9,1,10,1';  palabras[2] = 'tacolcy,5,1';  palabras[3] = 'tailor,1,1';  palabras[4] = 'tailored,13,1';  palabras[5] = 'take,11,6,13,4,14,3,0,1,1,1,3,1,4,1,12,1,15,1';  palabras[6] = 'taken,5,3,6,1,9,1,14,1';  palabras[7] = 'takes,6,2,0,1,12,1';  palabras[8] = 'taking,3,1,5,1,8,1,14,1,15,1';  palabras[9] = 'tanf,10,1,14,1';  palabras[10] = 'tangible,5,3,0,1,1,1,14,1';  palabras[11] = 'tapes,2,1';  palabras[12] = 'target,0,10,12,7,13,7,15,6,5,3,10,2,14,2,3,1';  palabras[13] = 'targeted,12,109,15,52,5,5,13,4,14,4,0,3,7,2,16,2,1,1,11,1';  palabras[14] = 'targeting,6,4,0,2,5,2,12,2,10,1';  palabras[15] = 'task,14,3';  palabras[16] = 'tasks,14,1';  palabras[17] = 'tax,12,25,7,10,6,8,13,4,14,3,5,2,0,1';  palabras[18] = 'taxes,13,1';  palabras[19] = 'tbra,6,1';  palabras[20] = 'team,9,2,0,1,14,6';  palabras[21] = 'teams,9,11,3,3,14,1';  palabras[22] = 'technical,15,9,13,8,14,8,2,7,3,1,4,1,5,1,16,1';  palabras[23] = 'technique,2,1';  palabras[24] = 'technology,3,3,5,2';  palabras[25] = 'temporary,11,6,12,2,9,1,10,1';  palabras[26] = 'ten,9,2,5,1,7,1';  palabras[27] = 'tenant,10,11,12,7,6,3';  palabras[28] = 'tenants,10,4,12,3,5,1,6,1';  palabras[29] = 'tend,13,3,4,1,9,1';  palabras[30] = 'tens,5,2';  palabras[31] = 'tenure,8,7';  palabras[32] = 'term,12,4,0,3,15,3,8,2,13,2,14,2,2,1,5,1,9,1,10,1,11,1,16,1';  palabras[33] = 'terms,6,3,7,3,14,1';  palabras[34] = 'terrace,5,2';  palabras[35] = 'terraces,5,1';  palabras[36] = 'tested,11,1';  palabras[37] = 'testing,11,6';  palabras[38] = 'th,5,80,4,2';  palabras[39] = 'than,6,35,8,33,7,9,13,8,11,7,0,5,5,5,4,4,10,3,9,2,12,2,14,2,16,2';  palabras[40] = 'thank,3,1';  palabras[41] = 'that,12,88,13,76,14,53,5,42,7,41,6,39,0,27,8,27,11,26,16,23,4,21,9,19,15,19,10,15,2,13,1,11,3,7';  palabras[42] = 'the,5,583,12,568,7,423,14,371,13,358,6,313,0,267,8,227,11,202,9,199,2,176,15,164,4,158,16,125,3,118,1,110,10,103';  palabras[43] = 'theater,5,1';  palabras[44] = 'theatre,5,2';  palabras[45] = 'thecityofmiamihaslostmanyofitstraditionalmulti,12,1';  palabras[46] = 'thecityshouldconsiderhousingrehabilitationprogramsthattargetsmallermulti,12,1';  palabras[47] = 'their,8,29,12,22,13,11,14,11,6,8,0,5,2,5,4,4,5,3,10,3,15,3,16,3,1,2,9,2,11,2';  palabras[48] = 'them,13,5,8,2,9,2,14,2,0,1,2,1,11,1,12,1,15,1';  palabras[49] = 'theme,5,1,13,1';  palabras[50] = 'then,6,2,16,2,5,1,14,1';  palabras[51] = 'theory,1,1';  palabras[52] = 'there,7,14,13,13,6,8,12,7,5,6,8,4,11,2,0,1,4,1,9,1,14,1,15,1';  palabras[53] = 'thereby,12,2,9,1,15,1';  palabras[54] = 'therefore,8,6,14,3,0,1,6,1';  palabras[55] = 'these,13,37,12,19,5,12,6,12,7,12,9,11,8,10,0,9,2,7,4,7,11,5,14,3,3,2,15,2,16,2,1,1,10,1';  palabras[56] = 'they,8,9,9,5,12,5,6,4,13,4,16,2,0,1,2,1,4,1,7,1,10,1,14,1';  palabras[57] = 'things,8,1';  palabras[58] = 'third,7,8,5,4,0,1,4,1,12,1,13,1';  palabras[59] = 'thirdly,6,1';  palabras[60] = 'thirty,4,1,5,1,6,1';  palabras[61] = 'this,13,31,12,29,11,23,14,23,5,22,6,22,0,13,7,13,16,12,4,10,15,10,1,9,9,9,3,8,2,7,8,6,10,3';  palabras[62] = 'thorough,12,1';  palabras[63] = 'thoroughly,16,1';  palabras[64] = 'those,6,11,13,10,11,7,12,7,0,5,14,5,7,4,8,4,9,4,1,3,2,2,3,2,10,2,5,1,15,1,16,1';  palabras[65] = 'though,4,4,5,3,6,3,7,1,8,1,10,1,12,1';  palabras[66] = 'thoughts,15,1';  palabras[67] = 'thousand,6,1';  palabras[68] = 'thousands,5,2';  palabras[69] = 'threatened,9,1,12,1';  palabras[70] = 'three,2,2,6,2,4,1,9,1,13,1,15,1';  palabras[71] = 'threshold,7,7,0,1';  palabras[72] = 'thrive,3,1';  palabras[73] = 'thriving,5,1';  palabras[74] = 'through,12,42,15,18,0,13,14,11,6,10,5,7,7,6,10,5,13,4,3,3,16,3,1,2,2,2,9,2';  palabras[75] = 'throughout,12,3,0,2,2,2,9,2,14,2,1,1,3,1,4,1,5,1,7,1,15,1';  palabras[76] = 'thus,14,2,0,1,5,1,6,1,8,1,13,1,15,1';  palabras[77] = 'tied,16,1';  palabras[78] = 'tiered,0,2,5,2,12,1';  palabras[79] = 'ties,9,1';  palabras[80] = 'tight,7,1';  palabras[81] = 'tighten,7,1';  palabras[82] = 'time,12,5,9,3,4,2,5,2,14,2,0,1,1,1,2,1,7,1,8,1,15,1';  palabras[83] = 'timeframe,14,1';  palabras[84] = 'timely,3,1,12,1,16,1';  palabras[85] = 'times,2,4';  palabras[86] = 'title,1,3';  palabras[87] = 'to,12,331,5,222,14,178,13,158,15,117,11,116,0,110,6,101,7,81,8,62,2,61,9,59,4,52,16,52,3,38,1,32,10,22';  palabras[88] = 'today,5,6,4,2,14,1,16,1';  palabras[89] = 'toddlers,14,1';  palabras[90] = 'toexhaust,12,1';  palabras[91] = 'together,5,3,3,2,7,2,8,2,13,2,6,1,14,1';  palabras[92] = 'tolerate,16,1';  palabras[93] = 'too,5,2,13,2,12,1';  palabras[94] = 'tool,14,4,0,1,7,1,15,1,16,1';  palabras[95] = 'tools,7,1';  palabras[96] = 'top,13,2,0,1,7,1,12,1';  palabras[97] = 'topic,2,1';  palabras[98] = 'topics,2,2';  palabras[99] = 'total,7,21,8,17,6,15,9,6,10,4,13,4,4,1,11,1,12,1';  palabras[100] = 'totaled,7,1';  palabras[101] = 'totaling,4,1';  palabras[102] = 'totals,7,1';  palabras[103] = 'toward,12,3,9,2,0,1,13,1,14,1,15,1,16,1';  palabras[104] = 'towards,14,6,0,1,9,1,12,1,15,1';  palabras[105] = 'tower,5,1';  palabras[106] = 'towers,5,2';  palabras[107] = 'tracking,14,2,16,8';  palabras[108] = 'tracks,5,2';  palabras[109] = 'tract,13,1';  palabras[110] = 'tracts,13,1';  palabras[111] = 'trade,4,3,13,1';  palabras[112] = 'trades,5,1';  palabras[113] = 'traditional,6,1,14,1';  palabras[114] = 'traditionally,7,2,14,1';  palabras[115] = 'train,5,1,9,1';  palabras[116] = 'training,13,23,14,11,12,10,2,9,15,9,16,4,0,2,5,2,4,1';  palabras[117] = 'trainings,9,1';  palabras[118] = 'transactions,7,1';  palabras[119] = 'transcriptions,2,1';  palabras[120] = 'transferring,13,1';  palabras[121] = 'transform,1,1,5,1,16,1';  palabras[122] = 'transformation,0,2,5,1,12,1,15,1';  palabras[123] = 'transformed,5,1';  palabras[124] = 'transit,5,4,7,1';  palabras[125] = 'transition,5,2,14,1,15,1';  palabras[126] = 'transitional,9,5,15,1';  palabras[127] = 'transits,14,1';  palabras[128] = 'transmits,7,1';  palabras[129] = 'transparent,2,1';  palabras[130] = 'transportation,14,5,15,4,5,3,13,3,9,2';  palabras[131] = 'transported,9,1';  palabras[132] = 'trash,14,3';  palabras[133] = 'travel,5,1';  palabras[134] = 'treatment,9,11,14,2';  palabras[135] = 'trees,14,1,15,1';  palabras[136] = 'tremendous,5,1';  palabras[137] = 'trenched,5,1';  palabras[138] = 'trend,4,2,7,1,12,1';  palabras[139] = 'trends,7,8,4,7,10,6,13,1';  palabras[140] = 'triangle,15,1';  palabras[141] = 'tribute,5,4';  palabras[142] = 'trigger,13,1';  palabras[143] = 'tripled,5,1';  palabras[144] = 'tropical,5,1';  palabras[145] = 'true,3,2,7,1,13,1';  palabras[146] = 'truly,2,1,13,1';  palabras[147] = 'trust,9,24,12,4,3,3,6,1';  palabras[148] = 'try,13,1';  palabras[149] = 'trying,4,1,5,1,12,1,13,1';  palabras[150] = 'turmoil,4,1';  palabras[151] = 'turn,5,1,7,1,12,1';  palabras[152] = 'tutoring,14,3,13,2,15,1';  palabras[153] = 'twenty,14,1';  palabras[154] = 'twice,16,1';  palabras[155] = 'two,6,12,5,9,9,9,2,3,0,2,7,2,12,2,13,2,14,2,4,1,8,1';  palabras[156] = 'type,8,7,6,6,10,6,14,2,11,1,13,1';  palabras[157] = 'types,7,5,12,3,13,3,2,2,4,1';  palabras[158] = 'typically,6,4,5,1,7,1,8,1,9,1,12,1,16,1';  
break;
case 'u': 
palabras[0] = 'u,7,5,5,3,6,3,0,2,10,2,1,1,4,1,8,1,9,1,12,1,14,1,16,1';  palabras[1] = 'ultimately,12,1';  palabras[2] = 'um,5,3,14,2';  palabras[3] = 'umbrella,1,1';  palabras[4] = 'unable,9,2,13,2,7,1';  palabras[5] = 'unaware,13,1';  palabras[6] = 'under,7,16,11,10,14,9,0,5,1,5,12,5,6,4,9,4,5,2,8,2,16,2,2,1,13,1';  palabras[7] = 'underemployed,14,1';  palabras[8] = 'undergo,12,1';  palabras[9] = 'undergone,0,1,12,1';  palabras[10] = 'underlyig,1,1';  palabras[11] = 'underpayment,16,2';  palabras[12] = 'underpinnings,5,1,7,1';  palabras[13] = 'underserved,12,6,5,1';  palabras[14] = 'underservice,7,7';  palabras[15] = 'understand,13,3,1,1,4,1,16,1';  palabras[16] = 'understanding,13,3,7,2,1,1';  palabras[17] = 'understands,16,1';  palabras[18] = 'understated,8,1';  palabras[19] = 'undertake,11,7,12,3,0,1,2,1,4,1,5,1,10,1';  palabras[20] = 'undertaken,2,1,3,1,7,1,14,1';  palabras[21] = 'undertakings,14,1';  palabras[22] = 'underwriting,14,1';  palabras[23] = 'undesirable,5,1';  palabras[24] = 'undoubtedly,14,1';  palabras[25] = 'unemployable,13,1';  palabras[26] = 'unemployed,13,5';  palabras[27] = 'unemployment,13,8,5,1,6,1,7,1';  palabras[28] = 'unified,14,11,3,3,1,2';  palabras[29] = 'unincorporated,7,1';  palabras[30] = 'uninsured,12,1,14,1';  palabras[31] = 'unique,9,1,13,1,15,1';  palabras[32] = 'unit,7,7,12,3,6,2,15,2,1,1,5,1,8,1,9,1';  palabras[33] = 'united,4,1,5,1,13,1';  palabras[34] = 'units,7,65,12,61,11,25,10,21,8,20,6,17,0,11,1,3,9,3,14,3,3,1,5,1,16,1';  palabras[35] = 'units",7,1';  palabras[36] = 'universal,12,1';  palabras[37] = 'university,5,1,6,1,14,1';  palabras[38] = 'unlike,7,2,13,1';  palabras[39] = 'unmet,8,2';  palabras[40] = 'unquestionably,14,1';  palabras[41] = 'unsafe,12,9,7,6,0,1';  palabras[42] = 'unsheltered,9,3';  palabras[43] = 'unskilled,15,1';  palabras[44] = 'untapped,12,1';  palabras[45] = 'unusually,7,2';  palabras[46] = 'unveil,7,1';  palabras[47] = 'unwilling,7,1';  palabras[48] = 'up,7,25,9,7,10,7,13,7,5,5,12,5,14,5,15,3,6,2,0,1,4,1,8,1,11,1';  palabras[49] = 'up",7,1';  palabras[50] = 'upcoming,1,2,14,1,16,3';  palabras[51] = 'updated,5,1,6,1';  palabras[52] = 'upgrade,15,1';  palabras[53] = 'upgrades,14,1';  palabras[54] = 'upgrading,14,1';  palabras[55] = 'uphold,14,1';  palabras[56] = 'upholstery,5,1';  palabras[57] = 'upon,2,3,3,2,6,2,15,2,16,2,5,1,14,1';  palabras[58] = 'upper,13,1';  palabras[59] = 'ups,14,1';  palabras[60] = 'upscale,7,8,12,2,0,1,5,1';  palabras[61] = 'urban,5,6,0,5,12,5,4,3,7,3,14,3,6,2,15,2,16,2,1,1,2,1,8,1,10,1';  palabras[62] = 'urbana,6,1,14,1';  palabras[63] = 'us,2,1,5,1,8,1,15,1';  palabras[64] = 'use,7,18,15,14,12,7,5,4,14,4,0,3,6,3,2,2,3,2,10,2,13,2,16,2,1,1,9,1';  palabras[65] = 'used,11,7,15,7,14,6,6,5,12,5,2,3,1,2,5,2,7,2,16,2,9,1,10,1';  palabras[66] = 'useful,16,1';  palabras[67] = 'user,12,1';  palabras[68] = 'uses,7,3,5,2,6,1,12,1,15,1';  palabras[69] = 'using,15,7,7,2,13,2,0,1,5,1,10,1,12,1,16,1';  palabras[70] = 'usually,16,1';  palabras[71] = 'utilities,6,2,10,2';  palabras[72] = 'utility,6,2,8,2,12,2';  palabras[73] = 'utilized,9,2,12,2,13,2,14,2,0,1,2,1';  palabras[74] = 'utilizing,9,2';  
break;
case 'v': 
palabras[0] = 'v,0,1,1,1,5,12';  palabras[1] = 'vacancies,7,8';  palabras[2] = 'vacancy,7,13,12,1';  palabras[3] = 'vacant,5,1,7,1,10,1';  palabras[4] = 'valuable,5,1';  palabras[5] = 'value,5,1,13,1';  palabras[6] = 'values,0,2,12,2,1,1,5,1,7,1,14,1';  palabras[7] = 'variables,7,1';  palabras[8] = 'variances,12,1';  palabras[9] = 'variety,5,3,14,3,2,2,1,1,3,1,6,1,12,1,15,1';  palabras[10] = 'various,12,5,13,5,0,2,1,2,2,2,3,2,6,2,9,2,15,2,4,1,5,1,11,1,14,1,16,1';  palabras[11] = 'vary,6,1';  palabras[12] = 'varying,12,1,15,1';  palabras[13] = 'vast,7,1,9,1,12,1';  palabras[14] = 'vehicle,0,1,15,1';  palabras[15] = 'vento,6,1';  palabras[16] = 'venture,3,1';  palabras[17] = 'ventured,13,1';  palabras[18] = 'ventures,13,1,14,1';  palabras[19] = 'verifiable,8,1';  palabras[20] = 'verification,7,1';  palabras[21] = 'verified,16,1';  palabras[22] = 'verify,14,2';  palabras[23] = 'very,12,9,14,6,6,4,8,3,4,1,11,1,13,1';  palabras[24] = 'veteran,5,1';  palabras[25] = 'vi,6,12';  palabras[26] = 'via,14,1';  palabras[27] = 'viability,15,3,0,2,16,1';  palabras[28] = 'viable,0,1,12,1,13,1';  palabras[29] = 'vibrant,5,2,14,1';  palabras[30] = 'vicinity,5,1,15,1';  palabras[31] = 'victimized,12,1';  palabras[32] = 'victory,14,1';  palabras[33] = 'viewed,7,1';  palabras[34] = 'views,2,3';  palabras[35] = 'vii,7,12';  palabras[36] = 'viii,8,12';  palabras[37] = 'village,5,11,7,1,13,1';  palabras[38] = 'violate,16,1';  palabras[39] = 'violation,14,3,12,1';  palabras[40] = 'violations,12,8,7,7,0,2,14,2,15,2,16,2';  palabras[41] = 'violators,16,1';  palabras[42] = 'virrick,5,1';  palabras[43] = 'visible,5,4,13,3,12,2,0,1,1,1';  palabras[44] = 'vision,14,12,5,6,3,3,1,2,2,2';  palabras[45] = 'visit,5,1,9,1,16,1';  palabras[46] = 'visitors,5,1';  palabras[47] = 'vista,5,1,14,1';  palabras[48] = 'visual,13,1';  palabras[49] = 'vital,14,2,0,1,1,1,12,1,13,1,16,1';  palabras[50] = 'vitality,10,6,5,1,13,1,14,1';  palabras[51] = 'voice,2,1,14,1';  palabras[52] = 'volume,1,3';  palabras[53] = 'voters,14,1';  palabras[54] = 'voucher,10,16,6,1';  palabras[55] = 'vouchers,10,14,12,6,6,2';  palabras[56] = 'vulnerability,13,1';  palabras[57] = 'vulnerable,6,1,11,1,12,1,13,1';  
break;
case 'w': 
palabras[0] = 'w,5,2';  palabras[1] = 'wage,16,6,4,2,14,2,10,1,12,1,15,1';  palabras[2] = 'wages,16,8,6,1,7,1,15,1';  palabras[3] = 'waging,4,1';  palabras[4] = 'wagner,14,1';  palabras[5] = 'waiting,10,16';  palabras[6] = 'waiver,12,2';  palabras[7] = 'waivers,12,1';  palabras[8] = 'walk,5,2';  palabras[9] = 'want,5,1';  palabras[10] = 'wants,2,5,12,1';  palabras[11] = 'war,14,3';  palabras[12] = 'ward,5,1';  palabras[13] = 'warehouse,5,2';  palabras[14] = 'warm,9,1';  palabras[15] = 'was,5,14,2,9,13,7,9,6,8,5,7,3,0,2,1,2,3,2,6,2,16,2,15,1';  palabras[16] = 'waste,14,7,3,3,12,1';  palabras[17] = 'water,13,4,14,1';  palabras[18] = 'waves,4,1';  palabras[19] = 'wavier,12,1';  palabras[20] = 'way,5,4,13,2,7,1,15,1';  palabras[21] = 'ways,1,1,2,1,12,1,15,6';  palabras[22] = 'we,1,4,8,1,14,1';  palabras[23] = 'weather,9,1';  palabras[24] = 'web,12,2';  palabras[25] = 'website,2,1';  palabras[26] = 'weekly,14,2';  palabras[27] = 'welfare,13,2,15,2,0,1,14,1';  palabras[28] = 'well,5,6,13,4,8,3,4,2,7,2,9,2,14,2,15,2,0,1,1,1,2,1,6,1,12,1,16,1';  palabras[29] = 'went,5,1';  palabras[30] = 'were,7,15,8,13,2,12,5,9,6,7,9,7,0,4,11,4,12,4,1,1,3,1,15,1';  palabras[31] = 'west,5,46,0,3,7,1';  palabras[32] = 'western,4,1,5,1,7,1';  palabras[33] = 'what,2,11,5,2,8,2,13,2,16,2';  palabras[34] = 'when,9,6,6,3,7,3,13,3,14,3,8,2,4,1,5,1,15,1,16,1';  palabras[35] = 'whenever,12,1';  palabras[36] = 'where,8,4,1,3,5,3,7,3,15,3,0,2,2,2,12,2,13,2,14,2,16,2,3,1,6,1';  palabras[37] = 'whereas,4,2';  palabras[38] = 'wherever,16,1';  palabras[39] = 'whether,8,4,13,1,14,1';  palabras[40] = 'which,5,9,3,8,13,8,14,6,7,4,12,4,15,4,8,3,16,3,0,2,1,2,2,2,6,2,9,2,10,2,4,1';  palabras[41] = 'whichever,6,1';  palabras[42] = 'while,8,11,7,8,6,5,14,5,15,4,4,2,12,2,13,2,0,1,3,1,5,1,16,1';  palabras[43] = 'white,4,5,7,2,8,2,10,2';  palabras[44] = 'whites,7,2,8,1';  palabras[45] = 'who,12,22,13,14,8,12,6,6,0,4,9,4,7,3,16,3,4,2,11,2,14,2,1,1,2,1,5,1,10,1,15,1';  palabras[46] = 'whole,11,6,6,3,7,3,5,1,14,1';  palabras[47] = 'wholesale,5,2,13,1';  palabras[48] = 'whom,16,1';  palabras[49] = 'whose,14,4';  palabras[50] = 'why,13,1';  palabras[51] = 'wide,2,15,12,6,14,4,6,3,9,2,1,1,5,1';  palabras[52] = 'widen,5,1';  palabras[53] = 'widespread,5,1';  palabras[54] = 'will,12,109,6,49,0,43,14,39,15,36,5,30,11,27,16,24,3,23,13,20,7,17,1,13,8,9,10,6,4,4,9,4,2,1';  palabras[55] = 'willing,13,1';  palabras[56] = 'windows,14,1';  palabras[57] = 'winter,9,1';  palabras[58] = 'wish,12,2';  palabras[59] = 'with,8,98,12,77,14,47,6,40,5,31,15,29,16,25,7,24,13,23,11,21,1,20,0,18,9,18,3,15,10,12,2,8,4,6';  palabras[60] = 'within,7,69,12,15,5,13,13,12,11,11,0,10,9,9,6,6,15,5,10,3,14,3,4,2,8,2,2,1,3,1';  palabras[61] = 'without,14,5,10,3,2,1,6,1,7,1,8,1';  palabras[62] = 'witness,4,1';  palabras[63] = 'witnessed,13,1';  palabras[64] = 'wolff,7,1';  palabras[65] = 'women,6,1,9,1,15,1';  palabras[66] = 'words,14,1';  palabras[67] = 'work,12,8,13,5,14,5,3,4,16,3,1,2,5,2,15,2,0,1,4,1,9,1,11,1';  palabras[68] = 'worked,1,1,2,1,12,1';  palabras[69] = 'worker,6,1,7,1,9,6';  palabras[70] = 'workers,16,4,4,1,9,1';  palabras[71] = 'workforce,5,6,13,4,14,3,0,1,1,1,2,1,7,1,15,1';  palabras[72] = 'working,13,8,12,4,0,3,3,3,14,3,15,3,4,2,2,1,5,1,9,1';  palabras[73] = 'works,14,7,3,4,5,1,15,1,16,1';  palabras[74] = 'workshops,12,6,0,1,3,1,10,1';  palabras[75] = 'world,5,1';  palabras[76] = 'worse,13,1';  palabras[77] = 'worth,5,1,13,1,16,1';  palabras[78] = 'would,8,10,5,9,12,3,4,2,1,1,2,1,3,1,9,1,13,1,14,1';  palabras[79] = 'wrap,9,1';  palabras[80] = 'write,14,1';  palabras[81] = 'writing,13,1';  palabras[82] = 'written,2,5,14,1';  palabras[83] = 'wrong,14,1';  palabras[84] = 'wynwood,5,24,13,8,7,7,0,6,11,2,6,1,12,1,14,1';  
break;
case 'x': 
palabras[0] = 'x,5,1,10,12';  palabras[1] = 'xi,11,12';  palabras[2] = 'xii,12,12';  palabras[3] = 'xiii,13,12';  palabras[4] = 'xiv,14,12';  palabras[5] = 'xv,15,12';  palabras[6] = 'xvi,16,12';  
break;
case 'y': 
palabras[0] = 'y,10,1';  palabras[1] = 'yards,14,1';  palabras[2] = 'year,6,15,12,9,10,8,0,6,7,5,8,5,9,4,16,3,3,2,14,2,1,1,5,1,13,1,15,1';  palabras[3] = 'yearly,12,2,6,1';  palabras[4] = 'years,11,14,5,10,8,10,12,10,6,9,7,9,13,9,0,5,4,5,14,5,16,5,3,4,1,3,9,3,10,1';  palabras[5] = 'yes,8,2';  palabras[6] = 'yet,0,1,1,1,4,1,5,1,10,1,11,1,13,1';  palabras[7] = 'yielding,14,1';  palabras[8] = 'young,11,1,13,1,14,1';  palabras[9] = 'younger,8,3,11,2,6,1';  palabras[10] = 'youth,13,13,14,10,15,10,0,1,1,1,3,1,5,1,11,1';  palabras[11] = 'youths,14,1';  
break;
case 'z': 
palabras[0] = 'zero,14,1';  palabras[1] = 'zip,11,5,8,3,10,2,13,2,0,1';  palabras[2] = 'zone,5,49';  palabras[3] = 'zones,5,28,11,25,0,18,7,10,12,8,1,3,13,3,10,2,3,1,6,1,8,1,14,1,15,1';  palabras[4] = 'zones"ndzs,6,5';  palabras[5] = 'zoning,7,12,12,6,3,3,13,1,15,1';  
break;
case '1': 
palabras[0] = '1,12,255,15,75,10,32,7,18,0,14,8,14,5,11,9,10,6,9,13,8,11,6,4,4,1,3,2,1,14,1';  palabras[1] = '10,7,11,11,6,5,3,10,3,4,1,8,1,9,1,14,1';  palabras[2] = '100,13,2,4,1,11,1,12,1';  palabras[3] = '106,14,1';  palabras[4] = '108,14,7,5,1';  palabras[5] = '109,6,1';  palabras[6] = '10th,5,2';  palabras[7] = '11,7,6,5,2,8,2,6,1,10,1';  palabras[8] = '112,5,2';  palabras[9] = '112to,5,1';  palabras[10] = '119,5,1';  palabras[11] = '12,7,7,5,4,4,2,10,2,6,1,8,1';  palabras[12] = '12th,5,1';  palabras[13] = '13,7,7,2,1,8,1,11,1';  palabras[14] = '134,6,1';  palabras[15] = '135,16,1';  palabras[16] = '13percent,7,1';  palabras[17] = '14,8,5,5,2,2,1,7,1,9,1,13,1';  palabras[18] = '141,6,1';  palabras[19] = '143,7,1';  palabras[20] = '148,7,1';  palabras[21] = '14percent,7,1';  palabras[22] = '15,7,4,6,3,14,2,2,1,5,1,13,1,15,1';  palabras[23] = '150,5,1';  palabras[24] = '152,7,1';  palabras[25] = '16,8,2,4,1,7,1,10,1';  palabras[26] = '160,7,1';  palabras[27] = '17,5,11,8,3,6,2,10,2,4,1,7,1,9,1';  palabras[28] = '170,7,1';  palabras[29] = '17th,5,2';  palabras[30] = '18,8,2,13,2,5,1,7,1';  palabras[31] = '184,7,1';  palabras[32] = '1856,5,1';  palabras[33] = '188,6,1';  palabras[34] = '19,7,5,6,4,5,2,8,1,10,1';  palabras[35] = '19034,5,1';  palabras[36] = '19037,5,1';  palabras[37] = '192,6,1';  palabras[38] = '1949,11,6';  palabras[39] = '1950,11,4';  palabras[40] = '1960,7,1';  palabras[41] = '1960s,4,1,5,1';  palabras[42] = '1965,5,1';  palabras[43] = '1966,14,1';  palabras[44] = '1968,16,1';  palabras[45] = '1969,4,1';  palabras[46] = '1970,4,3,7,3';  palabras[47] = '1970s,4,2';  palabras[48] = '1975,7,1';  palabras[49] = '1978,11,8,12,2';  palabras[50] = '1979,11,12,12,1';  palabras[51] = '198,6,1';  palabras[52] = '1980,5,2,7,1';  palabras[53] = '1990,7,16,4,2,5,2,1,1,12,1,13,1,14,1';  palabras[54] = '1990s,7,2';  palabras[55] = '1991,7,1';  palabras[56] = '1992,1,1';  palabras[57] = '1993,9,1';  palabras[58] = '1994,16,1';  palabras[59] = '1995,7,1';  palabras[60] = '1997,7,1';  palabras[61] = '1998,5,1';  palabras[62] = '1999,11,3,4,1';  palabras[63] = '1a,9,1';  palabras[64] = '1ed,15,6';  palabras[65] = '1ha,12,6';  palabras[66] = '1hp,15,6';  palabras[67] = '1percent,7,2';  palabras[68] = '1pp,15,6';  palabras[69] = '1ps,15,6';  palabras[70] = '1st,12,9,6,1,13,1';  palabras[71] = '1unit,7,1';  
break;
case '2': 
palabras[0] = '2,12,51,15,30,5,27,7,20,0,13,6,12,10,12,8,8,9,8,13,7,11,6,2,2';  palabras[1] = '20,5,7,6,5,7,4,4,3,0,2,14,2,10,1,12,1,13,1';  palabras[2] = '200,5,2,6,1,12,1';  palabras[3] = '2000,7,12,8,9,6,7,4,6,13,6,5,1,11,1';  palabras[4] = '2001,7,2,14,1';  palabras[5] = '2002,7,5,11,1';  palabras[6] = '2003,7,15,9,4,8,3,11,2,6,1';  palabras[7] = '2004,0,3,2,2,5,2,7,2,1,1,6,1,14,1';  palabras[8] = '20041,5,1';  palabras[9] = '2005,8,3,10,2';  palabras[10] = '2006,5,1';  palabras[11] = '2007,10,1';  palabras[12] = '2009,0,3,5,2,1,1,10,1,14,1';  palabras[13] = '201,14,3';  palabras[14] = '2010,6,18,8,1';  palabras[15] = '2012,9,1';  palabras[16] = '202,12,2,14,2,0,1,6,1,7,1';  palabras[17] = '2025,7,1';  palabras[18] = '203,14,2';  palabras[19] = '206,7,1,14,1';  palabras[20] = '207,14,1';  palabras[21] = '207home,14,1';  palabras[22] = '208,14,1';  palabras[23] = '20th,5,7';  palabras[24] = '20unitstructures,12,1';  palabras[25] = '21,8,11,13,2,7,1,9,1';  palabras[26] = '211,8,1';  palabras[27] = '2121,5,1';  palabras[28] = '214,7,1';  palabras[29] = '2142,16,1';  palabras[30] = '21st,5,1';  palabras[31] = '22,8,3,7,2,5,1,6,1';  palabras[32] = '221(d,6,2';  palabras[33] = '23,5,1,7,1,8,1,9,1';  palabras[34] = '230,7,2';  palabras[35] = '231,6,1';  palabras[36] = '233,0,1,6,1,7,1';  palabras[37] = '236,6,2,7,1';  palabras[38] = '238,7,1,13,1';  palabras[39] = '24,9,12,14,10,1,6,7,3,8,3,6,2,16,2,0,1,13,1';  palabras[40] = '240,8,2,13,1';  palabras[41] = '24022,5,1';  palabras[42] = '241,7,2';  palabras[43] = '244,6,1';  palabras[44] = '24percent,7,1';  palabras[45] = '24th,5,1';  palabras[46] = '25,8,5,9,3,6,2,4,1,5,1,7,1,13,1';  palabras[47] = '250,12,1';  palabras[48] = '257,7,1';  palabras[49] = '26,6,2,8,2,10,2,12,2,0,1,7,1,13,1';  palabras[50] = '26002,5,1';  palabras[51] = '26003,5,1';  palabras[52] = '262,7,1';  palabras[53] = '26th,13,1';  palabras[54] = '27,6,4,5,3,7,2,8,1,9,1,11,1,13,1';  palabras[55] = '270,8,3';  palabras[56] = '276,7,1';  palabras[57] = '278,7,1';  palabras[58] = '279,7,1,8,1';  palabras[59] = '27percent,7,1';  palabras[60] = '27th,5,1';  palabras[61] = '28,8,2,4,1,5,1,6,1,9,1,10,1,13,1';  palabras[62] = '29,5,5,8,2,4,1,13,1';  palabras[63] = '291,7,2';  palabras[64] = '292,7,1';  palabras[65] = '2a,12,1';  palabras[66] = '2nd,12,3,5,1,6,1,13,1';  palabras[67] = '2percent,7,1';  
break;
case '3': 
palabras[0] = '3,15,24,12,22,0,13,7,13,13,13,10,12,16,12,8,9,6,8,9,6,11,6,5,5,2,2,4,2,14,1';  palabras[1] = '30,7,16,8,15,6,11,10,4,0,3,5,2,9,2,12,2,14,2,4,1,13,1';  palabras[2] = '300,5,1';  palabras[3] = '30012,5,1';  palabras[4] = '305,16,1';  palabras[5] = '31,9,2,10,1,13,1';  palabras[6] = '311,3,3,14,1';  palabras[7] = '314,8,2';  palabras[8] = '32,6,3,5,2,7,2,8,2';  palabras[9] = '320,7,1';  palabras[10] = '33,8,5,7,2,0,1,6,1,12,1,13,1';  palabras[11] = '33127,8,1';  palabras[12] = '33136,8,1';  palabras[13] = '33137,8,1';  palabras[14] = '33138,8,1';  palabras[15] = '33139,8,1';  palabras[16] = '33142,8,1';  palabras[17] = '33147,8,1';  palabras[18] = '33150,8,1';  palabras[19] = '33161,8,1';  palabras[20] = '34,6,7,8,6,11,1';  palabras[21] = '34003,5,1';  palabras[22] = '34004,5,1';  palabras[23] = '341,5,1';  palabras[24] = '35,6,19,8,7,0,1,7,1,11,1,12,1,13,1';  palabras[25] = '351,7,1';  palabras[26] = '358,11,1';  palabras[27] = '35percent,7,1';  palabras[28] = '36,5,5,8,2,0,1,7,1,10,1,11,1,12,1,14,1';  palabras[29] = '360,8,1';  palabras[30] = '36011,5,1';  palabras[31] = '36012,5,1';  palabras[32] = '362,4,1';  palabras[33] = '367,13,1';  palabras[34] = '37,5,2,6,2,8,2,13,2,9,1,12,1';  palabras[35] = '373,6,1';  palabras[36] = '374,7,1';  palabras[37] = '375,7,1';  palabras[38] = '38,6,5,7,3,8,2,0,1,12,1';  palabras[39] = '384,7,1';  palabras[40] = '386,8,2';  palabras[41] = '388,7,1';  palabras[42] = '389,7,1';  palabras[43] = '39,7,6,0,2,10,1,13,1';  palabras[44] = '393,13,1';  palabras[45] = '395,5,7';  palabras[46] = '3percent,7,1';  palabras[47] = '3ps,15,6';  palabras[48] = '3rd,12,3,5,2,6,1,13,1';  
break;
case '4': 
palabras[0] = '4,12,67,15,24,7,19,0,14,6,12,8,12,5,7,9,7,13,7,10,6,2,1,4,1';  palabras[1] = '40,8,5,5,2,11,2,4,1,7,1,12,1,13,1';  palabras[2] = '406,11,1';  palabras[3] = '41,6,7,0,2,7,2,8,2,10,2,4,1';  palabras[4] = '416,16,1';  palabras[5] = '42,9,3,10,2,0,1,12,1';  palabras[6] = '43,13,2,8,1,11,1';  palabras[7] = '44,6,8,7,1,10,1,13,1';  palabras[8] = '45,11,7,7,2,6,1,8,1';  palabras[9] = '450,8,1,9,1';  palabras[10] = '457,7,1';  palabras[11] = '46,8,1,11,1';  palabras[12] = '466,7,1';  palabras[13] = '47,4,1,8,1,13,1';  palabras[14] = '470,4,1';  palabras[15] = '48,4,1,8,1,9,1,10,1,11,1';  palabras[16] = '483,4,1,7,1';  palabras[17] = '49,6,2,7,2,8,1,9,1,10,1';  palabras[18] = '4percent,7,1';  palabras[19] = '4ps,15,6';  palabras[20] = '4th,12,3,13,1';  
break;
case '5': 
palabras[0] = '5,15,24,7,15,8,10,13,10,5,9,0,7,6,6,9,6,10,5,12,3,4,2,16,2';  palabras[1] = '50,6,14,8,7,5,3,12,2,13,2,14,2,9,1,10,1';  palabras[2] = '500,9,2,4,1,5,1,10,1';  palabras[3] = '502,9,1';  palabras[4] = '51,12,3,14,3,4,1,8,1,9,1';  palabras[5] = '52,8,3,0,1,10,1';  palabras[6] = '52021,5,1';  palabras[7] = '52022,5,1';  palabras[8] = '523,7,1';  palabras[9] = '53,8,1,10,1';  palabras[10] = '54,5,13,6,8,8,3,7,1,10,1';  palabras[11] = '54th,5,1,13,1';  palabras[12] = '55,6,3,8,3,5,1,10,1';  palabras[13] = '553,7,1';  palabras[14] = '56,10,1';  palabras[15] = '57,6,3,7,2';  palabras[16] = '570,14,9';  palabras[17] = '58,16,3,7,2,10,1,13,1';  palabras[18] = '581,7,2';  palabras[19] = '59,5,2,6,1,8,1';  palabras[20] = '593,6,1,7,1';  palabras[21] = '599,5,1';  palabras[22] = '59th,5,1';  palabras[23] = '5percent,7,2';  palabras[24] = '5ps,15,6';  palabras[25] = '5th,5,1';  
break;
case '6': 
palabras[0] = '6,15,24,7,15,6,8,0,6,9,6,13,6,8,4,5,2,2,1,4,1,12,1';  palabras[1] = '60,8,6,6,2,4,1,9,1,10,1,12,1';  palabras[2] = '600,7,1';  palabras[3] = '602,13,1';  palabras[4] = '61,8,4,6,1';  palabras[5] = '610,8,1';  palabras[6] = '62,5,8,8,7,7,3,6,2';  palabras[7] = '627,9,1';  palabras[8] = '629,6,1';  palabras[9] = '63,13,4,4,1';  palabras[10] = '63011,5,1';  palabras[11] = '63012,5,1';  palabras[12] = '635,13,1';  palabras[13] = '636,7,1';  palabras[14] = '637,9,1';  palabras[15] = '64,8,12,6,1,7,1,13,1';  palabras[16] = '640,5,1';  palabras[17] = '65,8,7,13,3,0,2,4,2,7,2,11,1';  palabras[18] = '66,6,2,8,2,4,1,11,1,13,1';  palabras[19] = '67,11,1';  palabras[20] = '676,0,1,7,1';  palabras[21] = '68,7,1';  palabras[22] = '683,7,2';  palabras[23] = '6percent,7,1';  palabras[24] = '6ps,15,6';  
break;
case '7': 
palabras[0] = '7,7,11,13,8,6,7,0,6,5,6,4,3,12,2,2,1,8,1,9,1';  palabras[1] = '70,6,1';  palabras[2] = '700,5,1,10,1';  palabras[3] = '703,14,1';  palabras[4] = '704,9,1';  palabras[5] = '705,14,1';  palabras[6] = '71,8,6,5,1,9,1,13,1';  palabras[7] = '72,8,4,6,3,7,2,9,1';  palabras[8] = '73,6,6,8,3,0,2,7,2,9,1,11,1';  palabras[9] = '736,7,1';  palabras[10] = '737,7,1';  palabras[11] = '73percent,7,1';  palabras[12] = '74,6,2,4,1,7,1';  palabras[13] = '746,7,1';  palabras[14] = '747,7,2';  palabras[15] = '749,7,1';  palabras[16] = '75,6,4,4,1,10,1,13,1';  palabras[17] = '756,9,1';  palabras[18] = '76,0,2,7,2,8,1,9,1';  palabras[19] = '77,6,7,0,1,4,1,10,1,11,1';  palabras[20] = '779,7,1';  palabras[21] = '78,6,1';  palabras[22] = '785,7,1';  palabras[23] = '79,5,1';  palabras[24] = '795,7,1';  palabras[25] = '7percent,7,3';  palabras[26] = '7th,5,1';  
break;
case '8': 
palabras[0] = '8,7,18,10,17,12,14,6,9,0,6,5,3,4,2,8,1,13,1';  palabras[1] = '80,6,10,8,6,12,4,14,2,0,1,7,1';  palabras[2] = '800,5,3,9,1,14,1';  palabras[3] = '802,13,1';  palabras[4] = '809,6,1';  palabras[5] = '81,11,3,8,1';  palabras[6] = '811,6,1';  palabras[7] = '827,9,1';  palabras[8] = '834,8,2';  palabras[9] = '836,5,2';  palabras[10] = '838,7,1';  palabras[11] = '84,11,1';  palabras[12] = '85,6,2,7,1';  palabras[13] = '851,6,1';  palabras[14] = '858,7,1';  palabras[15] = '87,6,1';  palabras[16] = '873,13,1';  palabras[17] = '88,4,2,7,1';  palabras[18] = '882,6,1';  palabras[19] = '88th,13,1';  palabras[20] = '895,0,1';  palabras[21] = '899,6,1';  palabras[22] = '8percent,7,2';  
break;
case '9': 
palabras[0] = '9,7,21,6,2,4,1,8,1,11,1';  palabras[1] = '90,10,1';  palabras[2] = '900,7,1';  palabras[3] = '908,13,1';  palabras[4] = '91,1,3,6,1';  palabras[5] = '91(24,1,3';  palabras[6] = '92,14,1';  palabras[7] = '922,4,1';  palabras[8] = '93,7,1';  palabras[9] = '95,5,8,7,2,8,2,13,1,14,1';  palabras[10] = '959,7,1';  palabras[11] = '96,7,1';  palabras[12] = '98,4,1,6,1';  palabras[13] = '984,7,2';  palabras[14] = '996,8,1';  palabras[15] = '998,7,2';  palabras[16] = '9and11,12,1';  palabras[17] = '9percent,7,2';  palabras[18] = '9th,5,1,13,1';  
break;
case '0': 
palabras[0] = '0,7,1,8,1';  palabras[1] = '000,5,9,6,9,7,8,10,7,8,3,13,3,0,2,16,2';  palabras[2] = '000",7,2';  palabras[3] = '028,7,2';  palabras[4] = '076,8,2,0,1,6,1';  palabras[5] = '091,10,1';  palabras[6] = '0percent,7,1';  
break;
}
	return palabras;
}

function botonFocus(){
	(MM_findObj("searchButton")).focus();
}

function MM_findObj(n, d) { //v4.01
  var p,i,x;  if(!d) d=document; if((p=n.indexOf("?"))>0&&parent.frames.length) {
    d=parent.frames[n.substring(p+1)].document; n=n.substring(0,p);}
  if(!(x=d[n])&&d.all) x=d.all[n]; for (i=0;!x&&i<d.forms.length;i++) x=d.forms[i][n];
  for(i=0;!x&&d.layers&&i<d.layers.length;i++) x=MM_findObj(n,d.layers[i].document);
  if(!x && d.getElementById) x=d.getElementById(n); return x;
}