package edu.northwestern.at.utils.corpuslinguistics.postagger.smoothing.lexical;
/* Please see the license information at the end of this file. */
import java.util.*;
import edu.northwestern.at.utils.*;
import edu.northwestern.at.utils.logger.*;
import edu.northwestern.at.utils.corpuslinguistics.lexicon.*;
import edu.northwestern.at.utils.corpuslinguistics.postagger.*;
import edu.northwestern.at.utils.math.*;
/** Abstract lexical smoother.
*
* <p>
* An abstract lexical smoother which provides implementations of
* common service methods such as setting the lexicon and the
* transition proability matrix. Extend this class and override
* the abstract method "lexicalProbability" to produce a new
* lexical smoother.
* </p>
*/
abstract public class AbstractLexicalSmoother
extends IsCloseableObject
implements LexicalSmoother, UsesLogger
{
/** The part of speech tagger for which this smoother provides
* amoother contextual probabilities.
*/
protected PartOfSpeechTagger partOfSpeechTagger;
/** Cached lexical probabilities for words.
*/
protected Map2D<String, String, Probability> cachedLexicalProbabilities;
/** Logger used for output. */
protected Logger logger;
/** Create an abstract lexical smoother.
*/
public AbstractLexicalSmoother()
{
// Create cache for lexical
// probabilities.
cachedLexicalProbabilities =
Map2DFactory.createNewMap2D( 3000 );
// Create dummy logger.
logger = new DummyLogger();
}
/** Get the logger.
*
* @return The logger.
*/
public Logger getLogger()
{
return logger;
}
/** Set the logger.
*
* @param logger The logger.
*/
public void setLogger( Logger logger )
{
this.logger = logger;
}
/** Set the part of speech tagger for this smoother.
*
* @param partOfSpeechTagger Part of speech tagger for which
* this smoother provides probabilities.
*/
public void setPartOfSpeechTagger
(
PartOfSpeechTagger partOfSpeechTagger
)
{
this.partOfSpeechTagger = partOfSpeechTagger;
}
/** Get the number of cached lexical probabilities.
*
* @return The number of cached lexical probabilities.
*/
public int cachedProbabilitiesCount()
{
int result = 0;
if ( cachedLexicalProbabilities != null )
{
result = cachedLexicalProbabilities.size();
}
return result;
}
/** Clear cached probabilities..
*/
public void clearCachedProbabilities()
{
cachedLexicalProbabilities.clear();
}
/** Get lexically smoothed probability of a word given a tag.
*
* @param word The word.
* @param tag The part of speech tag.
*
* @return Lexically smoothed probability of word given tag,
* e.g., p( word | tag ).
*
* <p>
* To avoid redoing potentially expensive probability calculations,
* you can use the "cachedLexicalProbabilities" HashMap2D to store
* probabilities once they are calculated. Your lexicalProbability
* method should look to see if the cache contains the needed
* lexical probability. If so, just retrieve it without recomputing it.
* If the cache does not contain the probability, compute it, and
* store it in the cache for future use.
* </p>
*
* <p>
* Here is what a lexicalProbability method should look like, using
* the cache.
* <p>
*
* <p>
* <pre>
* protected Probability lexicalProbability( String word , String tag )
* {
* // See if the lexical probability
* // p( word | tag ) is in the cache.
*
* Probability result =
* (Probability)cachedLexicalProbabilities.get( word , tag );
*
* // If the probability isn't in the
* // cache, compute it.
*
* if ( result == null )
* {
* double prob = <em>compute smoothed probability value</em>
*
* // Store computed probability in
* // the cache.
*
* result = new Probability( prob );
*
* cachedLexicalProbabilities.put( word , tag , result );
* }
*
* return result;
* }
* </pre>
* </p>
*/
public abstract Probability lexicalProbability
(
String word ,
String tag
);
}
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