tokenize

I have the following code to tokenize a string containing lines separated by \n and each line has integers separated by a \t : void string_to_int_array(char file_contents[BUFFER_SIZE << 5], int array[200][51]) { char *saveptr1, *saveptr2; char *str1, *str2; char delimiter1[2] = "\n"; char delimiter2[2] = " "; char line[200]; char integer[200]; int j; for(j = 1, str1 = file_contents; ; j++, str1 = NULL) { line = strtok_r(str1, delimiter1, &saveptr1); if (line == NULL) { break; } for (str2 = line; ; str2 = NULL) { integer = strtok_r(str2, delimiter2, &saveptr2); if (integer == NULL) { break; } }

I have started learning nltk and following this tutorial. First we use the built-in tokenizer by using sent_tokenize and later we use PunktSentenceTokenizer . The tutorial mentions that PunktSentenceTokenizer is capable of unsupervised machine learning. So does that mean it is better than the default one? Or what is the standard of comparison among various tokenizers? juanpa.arrivillaga Looking at the source code for sent_tokenize() reveals that this method currently uses the pre-trained punkt tokenizer, so it is the equivalent to PunktSentenceTokenizer . Whether or not you will need to

I have the following tokenizing template implemented in my XSLT. <xsl:template match="sporting_arena/text()[normalize-space()]" name="split"> <xsl:param name="pText" select="."/> <xsl:if test="normalize-space($pText)"> <li> <xsl:call-template name="replace"> <xsl:with-param name="pText" select="substring-before(concat($pText, ';'), ';')"/> </xsl:call-template> </li> <xsl:call-template name="split"> <xsl:with-param name="pText" select="substring-after($pText, ';')"/> </xsl:call-template> </xsl:if> <xsl:template name="replace"> <xsl:param name="pText"/> <xsl:if test="normalize-space($pText)">

I found this Split Text into paragraphs NLTK - usage of nltk.tokenize.texttiling? explaining how to feed a text into texttiling, however I am unable to actually return a text tokenized by paragraph / topic change as shown here under texttiling http://www.nltk.org/api/nltk.tokenize.html . When I feed my text into texttiling, I get the same untokenized text back, but as a list, which is of no use to me. tt = nltk.tokenize.texttiling.TextTilingTokenizer(w=20, k=10,similarity_method=0, stopwords=None, smoothing_method=[0], smoothing_width=2, smoothing_rounds=1, cutoff_policy=1, demo_mode=False)

I'm using Lucene for my project and I need a custom Analyzer. Code is: public class MyCommentAnalyzer extends Analyzer { @Override protected TokenStreamComponents createComponents( String fieldName, Reader reader ) { Tokenizer source = new StandardTokenizer( Version.LUCENE_48, reader ); TokenStream filter = new StandardFilter( Version.LUCENE_48, source ); filter = new StopFilter( Version.LUCENE_48, filter, StandardAnalyzer.STOP_WORDS_SET ); return new TokenStreamComponents( source, filter ); } } I've built it, but now I can't go on. My needs is that the filter must select only certain words.

I have a list of values I want to insert into a table via a stored procedure. I figured I would pass an array to oracle and loop through the array but I don't see how to pass an array into Oracle. I'd pass a list but I don't see how to work with the list to turn it into an array using PL/SQL (I'm fairly new to PL/SQL). Am I approaching this the wrong way? Using Oracle 9i and CF8. EDIT Perhaps I'm thinking about this the wrong way? I'm sure I'm not doing anything new here... I figured I'd convert the list to an associative array then loop the array because Oracle doesn't seem to work well with