/******************************************************************************* * Copyright (c) 2012 György Orosz, Attila Novák. * All rights reserved. This program and the accompanying materials * are made available under the terms of the GNU Lesser Public License v3 * which accompanies this distribution, and is available at * http://www.gnu.org/licenses/ * * This file is part of PurePos. * * PurePos is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * PurePos is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Lesser Public License for more details. * * Contributors: * György Orosz - initial API and implementation ******************************************************************************/ package hu.ppke.itk.nlpg.purepos.model.internal; import hu.ppke.itk.nlpg.purepos.common.lemma.ILemmaTransformation; public class HashLemmaTree extends HashSuffixTree<ILemmaTransformation<String, Integer>> { /** * */ private static final long serialVersionUID = -4680124440505966799L; @SuppressWarnings("unused") private HashLemmaTree() { this(10); } public HashLemmaTree(int maxSuffixLength) { super(maxSuffixLength); } @Override public void addWord(String suffString, ILemmaTransformation<String, Integer> tag, int count) { increment(suffString, tag, count); System.exit(-521); // Ez a kód nem fut le. } // TODO: the relative probabilities just left out, it should be calculated // in the model // @Deprecated // public Map<IToken, Integer> getLemmas(String word, // IVocabulary<String, Integer> vocab) { // Map<IToken, Integer> ret = new HashMap<IToken, Integer>(); // String wordSuffix; // for (int i = 0; i < word.length(); ++i) { // wordSuffix = word.substring(word.length() - i); // if (representation.containsKey(wordSuffix)) { // HashMap<ILemmaTransformation<String, Integer>, Integer> anals = // representation // .get(wordSuffix).getLeft(); // Set<ILemmaTransformation<String, Integer>> codes = anals // .keySet(); // for (ILemmaTransformation<String, Integer> code : codes) { // ret.put(SuffixCoder.tokenForCode(code, word, vocab), // anals.get(code)); // } // } // } // return ret; // } }