Source Code Cross Referenced for EdgeNGramTokenFilter.java in  » Net » lucene-connector » org » apache » lucene » analysis » ngram » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Net » lucene connector » org.apache.lucene.analysis.ngram 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        package org.apache.lucene.analysis.ngram;
002:
003:        /**
004:         * Licensed to the Apache Software Foundation (ASF) under one or more
005:         * contributor license agreements.  See the NOTICE file distributed with
006:         * this work for additional information regarding copyright ownership.
007:         * The ASF licenses this file to You under the Apache License, Version 2.0
008:         * (the "License"); you may not use this file except in compliance with
009:         * the License.  You may obtain a copy of the License at
010:         *
011:         *     http://www.apache.org/licenses/LICENSE-2.0
012:         *
013:         * Unless required by applicable law or agreed to in writing, software
014:         * distributed under the License is distributed on an "AS IS" BASIS,
015:         * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
016:         * See the License for the specific language governing permissions and
017:         * limitations under the License.
018:         */
019:
020:        import org.apache.lucene.analysis.Token;
021:        import org.apache.lucene.analysis.TokenFilter;
022:        import org.apache.lucene.analysis.TokenStream;
023:
024:        import java.io.IOException;
025:        import java.util.LinkedList;
026:
027:        /**
028:         * Tokenizes the given token into n-grams of given size(s).
029:         * @author Otis Gospodnetic
030:         */
031:        public class EdgeNGramTokenFilter extends TokenFilter {
032:            public static final Side DEFAULT_SIDE = Side.FRONT;
033:            public static final int DEFAULT_MAX_GRAM_SIZE = 1;
034:            public static final int DEFAULT_MIN_GRAM_SIZE = 1;
035:
036:            // Replace this with an enum when the Java 1.5 upgrade is made, the impl will be simplified
037:            /** Specifies which side of the input the n-gram should be generated from */
038:            public static class Side {
039:                private String label;
040:
041:                /** Get the n-gram from the front of the input */
042:                public static Side FRONT = new Side("front");
043:
044:                /** Get the n-gram from the end of the input */
045:                public static Side BACK = new Side("back");
046:
047:                // Private ctor
048:                private Side(String label) {
049:                    this .label = label;
050:                }
051:
052:                public String getLabel() {
053:                    return label;
054:                }
055:
056:                // Get the appropriate Side from a string
057:                public static Side getSide(String sideName) {
058:                    if (FRONT.getLabel().equals(sideName)) {
059:                        return FRONT;
060:                    } else if (BACK.getLabel().equals(sideName)) {
061:                        return BACK;
062:                    }
063:                    return null;
064:                }
065:            }
066:
067:            private int minGram;
068:            private int maxGram;
069:            private Side side;
070:            private LinkedList ngrams;
071:
072:            protected EdgeNGramTokenFilter(TokenStream input) {
073:                super (input);
074:                this .ngrams = new LinkedList();
075:            }
076:
077:            /**
078:             * Creates EdgeNGramTokenFilter that can generate n-grams in the sizes of the given range
079:             *
080:             * @param input TokenStream holding the input to be tokenized
081:             * @param side the {@link Side} from which to chop off an n-gram
082:             * @param minGram the smallest n-gram to generate
083:             * @param maxGram the largest n-gram to generate
084:             */
085:            public EdgeNGramTokenFilter(TokenStream input, Side side,
086:                    int minGram, int maxGram) {
087:                super (input);
088:
089:                if (side == null) {
090:                    throw new IllegalArgumentException(
091:                            "sideLabel must be either front or back");
092:                }
093:
094:                if (minGram < 1) {
095:                    throw new IllegalArgumentException(
096:                            "minGram must be greater than zero");
097:                }
098:
099:                if (minGram > maxGram) {
100:                    throw new IllegalArgumentException(
101:                            "minGram must not be greater than maxGram");
102:                }
103:
104:                this .minGram = minGram;
105:                this .maxGram = maxGram;
106:                this .side = side;
107:                this .ngrams = new LinkedList();
108:            }
109:
110:            /**
111:             * Creates EdgeNGramTokenFilter that can generate n-grams in the sizes of the given range
112:             *
113:             * @param input TokenStream holding the input to be tokenized
114:             * @param sideLabel the name of the {@link Side} from which to chop off an n-gram
115:             * @param minGram the smallest n-gram to generate
116:             * @param maxGram the largest n-gram to generate
117:             */
118:            public EdgeNGramTokenFilter(TokenStream input, String sideLabel,
119:                    int minGram, int maxGram) {
120:                this (input, Side.getSide(sideLabel), minGram, maxGram);
121:            }
122:
123:            /** Returns the next token in the stream, or null at EOS. */
124:            public final Token next() throws IOException {
125:                if (ngrams.size() > 0) {
126:                    return (Token) ngrams.removeFirst();
127:                }
128:
129:                Token token = input.next();
130:                if (token == null) {
131:                    return null;
132:                }
133:
134:                ngram(token);
135:                if (ngrams.size() > 0)
136:                    return (Token) ngrams.removeFirst();
137:                else
138:                    return null;
139:            }
140:
141:            private void ngram(Token token) {
142:                String inStr = token.termText();
143:                int inLen = inStr.length();
144:                int gramSize = minGram;
145:                while (gramSize <= maxGram) {
146:                    // if the remaining input is too short, we can't generate any n-grams
147:                    if (gramSize > inLen) {
148:                        return;
149:                    }
150:
151:                    // if we have hit the end of our n-gram size range, quit
152:                    if (gramSize > maxGram) {
153:                        return;
154:                    }
155:
156:                    Token tok;
157:                    if (side == Side.FRONT) {
158:                        tok = new Token(inStr.substring(0, gramSize), 0,
159:                                gramSize);
160:                    } else {
161:                        tok = new Token(inStr.substring(inLen - gramSize),
162:                                inLen - gramSize, inLen);
163:                    }
164:                    ngrams.add(tok);
165:                    gramSize++;
166:                }
167:            }
168:        }
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