opennlp.tools.tokenize.TokenizerModel Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package opennlp.tools.tokenize;
import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.net.URL;
import java.util.Map;
import opennlp.tools.dictionary.Dictionary;
import opennlp.tools.ml.model.AbstractModel;
import opennlp.tools.ml.model.MaxentModel;
import opennlp.tools.util.BaseToolFactory;
import opennlp.tools.util.InvalidFormatException;
import opennlp.tools.util.model.BaseModel;
import opennlp.tools.util.model.ModelUtil;
/**
* The {@link TokenizerModel} is the model used
* by a learnable {@link Tokenizer}.
*
* @see TokenizerME
*/
public final class TokenizerModel extends BaseModel {
private static final String COMPONENT_NAME = "TokenizerME";
private static final String TOKENIZER_MODEL_ENTRY = "token.model";
/**
* Initializes the current instance.
*
* @param tokenizerModel the model
* @param manifestInfoEntries the manifest
* @param tokenizerFactory the factory
*/
public TokenizerModel(MaxentModel tokenizerModel,
Map manifestInfoEntries, TokenizerFactory tokenizerFactory) {
super(COMPONENT_NAME, tokenizerFactory.getLanguageCode(), manifestInfoEntries, tokenizerFactory);
artifactMap.put(TOKENIZER_MODEL_ENTRY, tokenizerModel);
checkArtifactMap();
}
/**
* Initializes the current instance.
*
* @param in the Input Stream to load the model from
*
* @throws IOException if reading from the stream fails in anyway
* @throws InvalidFormatException if the stream doesn't have the expected format
*/
public TokenizerModel(InputStream in) throws IOException {
super(COMPONENT_NAME, in);
}
/**
* Initializes the current instance.
*
* @param modelFile the file containing the tokenizer model
*
* @throws IOException if reading from the stream fails in anyway
*/
public TokenizerModel(File modelFile) throws IOException {
super(COMPONENT_NAME, modelFile);
}
/**
* Initializes the current instance.
*
* @param modelURL the URL pointing to the tokenizer model
*
* @throws IOException if reading from the stream fails in anyway
*/
public TokenizerModel(URL modelURL) throws IOException {
super(COMPONENT_NAME, modelURL);
}
/**
* Checks if the tokenizer model has the right outcomes.
*
* @param model
* @return
*/
private static boolean isModelCompatible(MaxentModel model) {
return ModelUtil.validateOutcomes(model, TokenizerME.SPLIT, TokenizerME.NO_SPLIT);
}
@Override
protected void validateArtifactMap() throws InvalidFormatException {
super.validateArtifactMap();
if (!(artifactMap.get(TOKENIZER_MODEL_ENTRY) instanceof AbstractModel)) {
throw new InvalidFormatException("Token model is incomplete!");
}
if (!isModelCompatible(getMaxentModel())) {
throw new InvalidFormatException("The maxent model is not compatible with the tokenizer!");
}
}
public TokenizerFactory getFactory() {
return (TokenizerFactory) this.toolFactory;
}
@Override
protected Class extends BaseToolFactory> getDefaultFactory() {
return TokenizerFactory.class;
}
public MaxentModel getMaxentModel() {
return (MaxentModel) artifactMap.get(TOKENIZER_MODEL_ENTRY);
}
public Dictionary getAbbreviations() {
if (getFactory() != null) {
return getFactory().getAbbreviationDictionary();
}
return null;
}
public boolean useAlphaNumericOptimization() {
return getFactory() != null && getFactory().isUseAlphaNumericOptmization();
}
}