AdornAString.java |
package edu.northwestern.at.morphadorner.examples; /* Please see the license information at the end of this file. */ import java.util.*; import edu.northwestern.at.morphadorner.corpuslinguistics.adornedword.*; import edu.northwestern.at.morphadorner.corpuslinguistics.lemmatizer.*; import edu.northwestern.at.morphadorner.corpuslinguistics.lexicon.*; import edu.northwestern.at.morphadorner.corpuslinguistics.partsofspeech.*; import edu.northwestern.at.morphadorner.corpuslinguistics.postagger.*; import edu.northwestern.at.morphadorner.corpuslinguistics.sentencesplitter.*; import edu.northwestern.at.morphadorner.corpuslinguistics.spellingstandardizer.*; import edu.northwestern.at.morphadorner.corpuslinguistics.tokenizer.*; import edu.northwestern.at.utils.*; /** 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(); // Set standard spellings as // dictionary for lemmatizer. lemmatizer.setDictionary ( standardizer.getStandardSpellings() ); // 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 ); } } /* Copyright (c) 2008, 2013 by Northwestern University. 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