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📄 tokenfeatureextractor.java

📁 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能
💻 JAVA
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/* * LingPipe v. 3.5 * Copyright (C) 2003-2008 Alias-i * * This program is licensed under the Alias-i Royalty Free License * Version 1 WITHOUT ANY WARRANTY, without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the Alias-i * Royalty Free License Version 1 for more details. * * You should have received a copy of the Alias-i Royalty Free License * Version 1 along with this program; if not, visit * http://alias-i.com/lingpipe/licenses/lingpipe-license-1.txt or contact * Alias-i, Inc. at 181 North 11th Street, Suite 401, Brooklyn, NY 11211, * +1 (718) 290-9170. */package com.aliasi.tokenizer;import com.aliasi.util.AbstractExternalizable;import com.aliasi.util.Compilable;import com.aliasi.util.Counter;import com.aliasi.util.FeatureExtractor;import com.aliasi.util.ObjectToCounterMap;import com.aliasi.util.Strings;import java.util.Map;import java.io.IOException;import java.io.ObjectInput;import java.io.ObjectOutput;import java.io.Serializable;/** * A <code>TokenFeatureExtractor</code> produces feature vectors from * character sequences representing token counts. * * <h3>Serialization</h3> * * <p>The token feature extractors implement the {@link Serializable} * interface.  A token feature extractor will actually be serializable * if the underlying tokenizer factory is serializable, either by * implementing the {@link Serializable} interface or the {@link * Compilable} interface.  If it is not, attempting to serialize the * feature extractor will throw an exception. * * @author  Bob Carpenter * @version 3.1.3 * @since   LingPipe3.1 */public class TokenFeatureExtractor    implements FeatureExtractor<CharSequence>,               Serializable {    static final long serialVersionUID = -1946484959983081450L;    private final TokenizerFactory mTokenizerFactory;    /**     * Construct a token-based feature extractor from the     * specified tokenizer factory.     *     * @param factory Tokenizer factory to use for tokenization.     */    public TokenFeatureExtractor(TokenizerFactory factory) {        mTokenizerFactory = factory;    }    /**     * Return the feature vector for the specified character sequence.     * The keys are the tokens extracted and their values is the count     * of the token in the input character sequence.     *     * @param in Character sequence from which to extract features.     * @return Mapping from tokens in the input sequence to their     * counts.     */    public Map<String,Counter> features(CharSequence in) {        ObjectToCounterMap<String> map = new ObjectToCounterMap<String>();        char[] cs = Strings.toCharArray(in);        Tokenizer tokenizer = mTokenizerFactory.tokenizer(cs,0,cs.length);        for (String token : tokenizer)            map.increment(token);        return map;    }    private Object writeReplace() {        return new Externalizer(this);    }    static class Externalizer extends AbstractExternalizable {        static final long serialVersionUID = 4716086241839692672L;        private final TokenFeatureExtractor mExtractor;        public Externalizer() {            this(null);        }        public Externalizer(TokenFeatureExtractor extractor) {            mExtractor = extractor;        }        public void writeExternal(ObjectOutput out) throws IOException {            TokenizerFactory factory = mExtractor.mTokenizerFactory;            if (factory instanceof Compilable)                ((Compilable) factory).compileTo(out);            else                out.writeObject(factory);        }        public Object read(ObjectInput in)            throws ClassNotFoundException, IOException {            TokenizerFactory factory                = (TokenizerFactory) in.readObject();            return new TokenFeatureExtractor(factory);        }    }}

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