opennlp.grok.preprocess.mwe
Class VariableMWEModel

java.lang.Object
  |
  +--opennlp.grok.preprocess.mwe.VariableMWEModel

All Implemented Interfaces:

MWEModel

public class VariableMWEModel

extends java.lang.Object

implements MWEModel

A model holding the Fixed Lexicon Multi-Word Expressions.

It uses the first word to index into a Map. As most first words for Fixed Lexicon MWEs are not normal English words they occur very infrequently except as part of the MWE. Therefore this algorithm is very fast only taking a single Hash Map lookup for words which do not start any MWE (the vast majority of words in any normal English text).

Version:

$Revision: 1.1 $, $Date: 2002/03/12 12:51:20 $

Author:

Mike Atkinson

Nested Class Summary

static class

VariableMWEModel.ModelData

Constructor Summary

VariableMWEModel()

Method Summary

void	addMWE(java.lang.String mweWords) Adds a MWE to the model.
java.lang.String[]	getMWE(java.lang.String[] l, int pos) Finds the MWE (if any) at a position in the sequence of words.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

VariableMWEModel

public VariableMWEModel()

Method Detail

getMWE

public java.lang.String[] getMWE(java.lang.String[] l,
                                 int pos)

Finds the MWE (if any) at a position in the sequence of words.

Specified by:

getMWE in interface MWEModel

Parameters:

l - An array of the words to be searched.

pos - The position in the array of the first word of the MWE.

Returns:

if null then a MWE has not been found at that position, else the longest MWE found at that position.

addMWE

public void addMWE(java.lang.String mweWords)

Adds a MWE to the model.

Specified by:

addMWE in interface MWEModel

Parameters:

mweWords - The space separated MWE to add to the model.