opennlp.tools.util.wordvector.Glove 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.util.wordvector;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import opennlp.tools.util.java.Experimental;
/**
*
* Warning: Experimental new feature, see OPENNLP-1144 for details, the API might be changed anytime.
*/
@Experimental
public class Glove {
private Glove() {
}
/**
* Parses a glove vector plain text file.
*
* Warning: Experimental new feature, see OPENNLP-1144 for details, the API might be changed anytime.
*
* @param in the input stream for Glove vectors
* @return a Glove based wv table
* @throws IOException if any error occurs during parsing
*/
@Experimental
public static WordVectorTable parse(InputStream in) throws IOException {
BufferedReader reader = new BufferedReader(new InputStreamReader(in, StandardCharsets.UTF_8),
1024 * 1024);
Map vectors = new HashMap<>();
int dimension = -1;
String line;
while ((line = reader.readLine()) != null) {
String[] parts = line.split(" ");
if (dimension == -1) {
dimension = parts.length - 1;
}
else if (dimension != parts.length - 1) {
throw new IOException("Vector dimension must be constant!");
}
String token = parts[0];
float[] vector = new float[dimension];
for (int i = 0; i < vector.length; i++) {
vector[i] = Float.parseFloat(parts[i + 1]);
}
vectors.put(token, new FloatArrayVector(vector));
}
return new MapWordVectorTable(Collections.unmodifiableMap(vectors));
}
}