org.apache.mahout.common.nlp.NGrams Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of mahout-mr Show documentation
Show all versions of mahout-mr Show documentation
Scalable machine learning libraries
/**
* 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 org.apache.mahout.common.nlp;
import com.google.common.base.CharMatcher;
import com.google.common.base.Splitter;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
public class NGrams {
private static final Splitter SPACE_TAB = Splitter.on(CharMatcher.anyOf(" \t"));
private final String line;
private final int gramSize;
public NGrams(String line, int gramSize) {
this.line = line;
this.gramSize = gramSize;
}
public Map> generateNGrams() {
Map> returnDocument = Maps.newHashMap();
Iterator tokenizer = SPACE_TAB.split(line).iterator();
List tokens = Lists.newArrayList();
String labelName = tokenizer.next();
List previousN1Grams = Lists.newArrayList();
while (tokenizer.hasNext()) {
String nextToken = tokenizer.next();
if (previousN1Grams.size() == gramSize) {
previousN1Grams.remove(0);
}
previousN1Grams.add(nextToken);
StringBuilder gramBuilder = new StringBuilder();
for (String gram : previousN1Grams) {
gramBuilder.append(gram);
String token = gramBuilder.toString();
tokens.add(token);
gramBuilder.append(' ');
}
}
returnDocument.put(labelName, tokens);
return returnDocument;
}
public List generateNGramsWithoutLabel() {
List tokens = Lists.newArrayList();
List previousN1Grams = Lists.newArrayList();
for (String nextToken : SPACE_TAB.split(line)) {
if (previousN1Grams.size() == gramSize) {
previousN1Grams.remove(0);
}
previousN1Grams.add(nextToken);
StringBuilder gramBuilder = new StringBuilder();
for (String gram : previousN1Grams) {
gramBuilder.append(gram);
String token = gramBuilder.toString();
tokens.add(token);
gramBuilder.append(' ');
}
}
return tokens;
}
}
© 2015 - 2024 Weber Informatics LLC | Privacy Policy