package edu.northwestern.at.morphadorner.examples;
/* Please see the license information at the end of this file. */
import java.util.*;
import edu.northwestern.at.utils.*;
import edu.northwestern.at.utils.corpuslinguistics.adornedword.*;
import edu.northwestern.at.utils.corpuslinguistics.lemmatizer.*;
import edu.northwestern.at.utils.corpuslinguistics.lexicon.*;
import edu.northwestern.at.utils.corpuslinguistics.partsofspeech.*;
import edu.northwestern.at.utils.corpuslinguistics.postagger.*;
import edu.northwestern.at.utils.corpuslinguistics.sentencesplitter.*;
import edu.northwestern.at.utils.corpuslinguistics.spellingstandardizer.*;
import edu.northwestern.at.utils.corpuslinguistics.tokenizer.*;
/** AdornAString: Adorn a string with parts of speech, lemmata, and
* standard spellings.
*
* <p>
* Usage:
* </p>
*
* <p>
* <code>
* java -Xmx256m edu.northwestern.at.morphadorner.example.AdornAString "Text to adorn."
* </code>
* </p>
*
* <p>
* where "Text to adorn." specifies one or more sentences of text to
* adorn with part of speech tags, lemmata, and standard spellings.
* The default tokenizer, sentence splitter, lexicons, part of speech tagger,
* lemmatizer, and spelling standardizer are used.
* </p>
*
* <p>
* Example:
* </p>
*
* <p>
* <code>
* java -Xmx256m edu.northwestern.at.morphadorner.example.AdornAString "Mary had a little lamb. Its fleece was white as snow."
* </code>
* </p>
*/
public class AdornAString
{
/** Lemma separator character, */
public static String lemmaSeparator = "|";
/** Main program.
*
* @param args Program parameters.
*/
public static void main( String[] args )
{
try
{
adornText( args );
}
catch( Exception e )
{
e.printStackTrace();
}
}
/** Adorn text specified as a program parameter.
*
* @param args The program parameters.
*
* <p>
* args[ 0 ] contains the text to adorn. The text may contain
* one or more sentences with punctuation.
* </p>
*/
public static void adornText( String[] args )
throws Exception
{
// Get text to adorn. Report error
// and quit if none.
if ( args.length < 1 )
{
System.out.println( "No text to adorn." );
System.exit( 1 );
}
String textToAdorn = args[ 0 ];
// Get default part of speech tagger.
PartOfSpeechTagger partOfSpeechTagger =
new DefaultPartOfSpeechTagger();
// Get default word lexicon from
// part of speech tagger.
Lexicon wordLexicon = partOfSpeechTagger.getLexicon();
// Get the part of speech tags from
// the word lexicon.
PartOfSpeechTags partOfSpeechTags =
wordLexicon.getPartOfSpeechTags();
// Get default word tokenizer.
WordTokenizer wordTokenizer = new DefaultWordTokenizer();
// Get spelling tokenizer.
WordTokenizer spellingTokenizer =
new PennTreebankTokenizer();
// Get default sentence splitter.
SentenceSplitter sentenceSplitter =
new DefaultSentenceSplitter();
// Get the part of speech
// guesser from the part of
// speech tagger. Set this into
// sentence splitter to improve
// sentence boundary recognition.
sentenceSplitter.setPartOfSpeechGuesser
(
partOfSpeechTagger.getPartOfSpeechGuesser()
);
// Get the default English
// lemmatizer.
Lemmatizer lemmatizer = new DefaultLemmatizer();
// Get the default spelling
// standardizer.
SpellingStandardizer standardizer =
new DefaultSpellingStandardizer();
// Split text into sentences
// and words. Here "sentences"
// contains a list of sentences.
// Each sentence is itself a list of words.
List<List<String>> sentences =
sentenceSplitter.extractSentences(
textToAdorn , wordTokenizer );
// Assign part of speech tags to
// each word in each sentence.
// Here "taggedSentences" contains
// a list of List<AdornedWord> entries,
// one for each sentence.
List<List<AdornedWord>> taggedSentences =
partOfSpeechTagger.tagSentences( sentences );
// Loop over sentences and
// display adornments.
for ( int i = 0 ; i < sentences.size() ; i++ )
{
// Get the next adorned sentence.
// This contains a list of adorned
// words. Only the spellings
// and part of speech tags are
// guaranteed to be defined at
// this point.
List<AdornedWord> sentence = taggedSentences.get( i );
System.out.println
(
StringUtils.dupl( "-" , 30 ) +
" " + ( i + 1 ) + " " +
StringUtils.dupl( "-" , 30 )
);
// Print out the spelling and part(s)
// of speech for each word in the
// sentence. Punctuation is treated
// as a word too.
for ( int j = 0 ; j < sentence.size() ; j++ )
{
AdornedWord adornedWord = sentence.get( j );
// Get the standard spelling
// given the original spelling
// and part of speech.
setStandardSpelling
(
adornedWord ,
standardizer ,
partOfSpeechTags
);
// Set the lemma.
setLemma
(
adornedWord ,
wordLexicon ,
lemmatizer ,
partOfSpeechTags ,
spellingTokenizer
);
// Display the adornments.
System.out.println
(
StringUtils.rpad( ( j + 1 ) + "" , 3 ) + ": " +
StringUtils.rpad( adornedWord.getSpelling() , 20 ) +
StringUtils.rpad(
adornedWord.getPartsOfSpeech() , 8 ) +
StringUtils.rpad(
adornedWord.getStandardSpelling() , 20 ) +
adornedWord.getLemmata()
);
}
}
}
/** Get standard spelling for a word.
*
* @param adornedWord The adorned word.
* @param standardizer The spelling standardizer.
* @param partOfSpeechTags The part of speech tags.
*
* <p>
* On output, sets the standard spelling field of the adorned word
* </p>
*/
public static void setStandardSpelling
(
AdornedWord adornedWord ,
SpellingStandardizer standardizer ,
PartOfSpeechTags partOfSpeechTags
)
{
// Get the spelling.
String spelling = adornedWord.getSpelling();
String standardSpelling = spelling;
String partOfSpeech = adornedWord.getPartsOfSpeech();
// Leave proper nouns alone.
if ( partOfSpeechTags.isProperNounTag( partOfSpeech ) )
{
}
// Leave nouns with internal
// capitals alone.
else if ( partOfSpeechTags.isNounTag( partOfSpeech ) &&
CharUtils.hasInternalCaps( spelling ) )
{
}
// Leave foreign words alone.
else if ( partOfSpeechTags.isForeignWordTag( partOfSpeech ) )
{
}
// Leave numbers alone.
else if ( partOfSpeechTags.isNumberTag( partOfSpeech ) )
{
}
// Anything else -- call the
// standardizer on the spelling
// to get the standard spelling.
else
{
standardSpelling =
standardizer.standardizeSpelling
(
adornedWord.getSpelling() ,
partOfSpeechTags.getMajorWordClass
(
adornedWord.getPartsOfSpeech()
)
);
// If the standard spelling
// is the same as the original
// spelling except for case,
// use the original spelling.
if ( standardSpelling.equalsIgnoreCase( spelling ) )
{
standardSpelling = spelling;
}
}
// Set the standard spelling.
adornedWord.setStandardSpelling( standardSpelling );
}
/** Get lemma for a word.
*
* @param adornedWord The adorned word.
* @param lexicon The word lexicon.
* @param lemmatizer The lemmatizer.
* @param partOfSpeechTags The part of speech tags.
* @param spellingTokenizer Tokenizer for spelling.
*
* <p>
* On output, sets the lemma field of the adorned word
* We look in the word lexicon first for the lemma.
* If the lexicon does not contain the lemma, we
* use the lemmatizer.
* </p>
*/
public static void setLemma
(
AdornedWord adornedWord ,
Lexicon lexicon ,
Lemmatizer lemmatizer ,
PartOfSpeechTags partOfSpeechTags ,
WordTokenizer spellingTokenizer
)
{
String spelling = adornedWord.getSpelling();
String partOfSpeech = adornedWord.getPartsOfSpeech();
String lemmata = spelling;
// Get lemmatization word class
// for part of speech.
String lemmaClass =
partOfSpeechTags.getLemmaWordClass( partOfSpeech );
// Do not lemmatize words which
// should not be lemmatized,
// including proper names.
if ( lemmatizer.cantLemmatize( spelling ) ||
lemmaClass.equals( "none" )
)
{
}
else
{
// Try compound word exceptions
// list first.
lemmata = lemmatizer.lemmatize( spelling , "compound" );
// If lemma not found, keep trying.
if ( lemmata.equals( spelling ) )
{
// Extract individual word parts.
// May be more than one for a
// contraction.
List wordList =
spellingTokenizer.extractWords( spelling );
// If just one word part,
// get its lemma.
if ( !partOfSpeechTags.isCompoundTag( partOfSpeech ) ||
( wordList.size() == 1 )
)
{
if ( lemmaClass.length() == 0 )
{
lemmata = lemmatizer.lemmatize( spelling );
}
else
{
lemmata =
lemmatizer.lemmatize( spelling , lemmaClass );
}
}
// More than one word part.
// Get lemma for each part and
// concatenate them with the
// lemma separator to form a
// compound lemma.
else
{
lemmata = "";
String lemmaPiece = "";
String[] posTags =
partOfSpeechTags.splitTag( partOfSpeech );
if ( posTags.length == wordList.size() )
{
for ( int i = 0 ; i < wordList.size() ; i++ )
{
String wordPiece = (String)wordList.get( i );
if ( i > 0 )
{
lemmata = lemmata + lemmaSeparator;
}
lemmaClass =
partOfSpeechTags.getLemmaWordClass
(
posTags[ i ]
);
lemmaPiece =
lemmatizer.lemmatize
(
wordPiece ,
lemmaClass
);
lemmata = lemmata + lemmaPiece;
}
}
}
}
}
adornedWord.setLemmata( lemmata );
}
}
/*
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Northwestern University
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