- 简单 1000LOC
- 高效 7M+ chars/second
- 支持中文,英语,数字
- 自动识别未登录词
- 支持OffsetAttribute
- 支持TypeAttribute
- 支持PositionIncrementAttribute
Dict dict = new Dict();
dict.addAllSpecialTypes();
BufferedReader dictReader = new BufferedReader(new InputStreamReader(
new FileInputStream("dict.txt"), "UTF-8"));
dict.load(dictReader);
dictReader.close();
dict.optimize();
DictAnalyzer dictAnalyzer = new DictAnalyzer(dict);
ant benchmark
supported features: CharTerm Offset PositionIncrement Term Type IKAnalyzer Y Y N Y N MMSegAnalyzer Y Y N Y Y PaodingAnalyzer Y Y N Y Y StandardAnalyzer Y Y Y Y Y BaoBaoAnalyzer Y Y Y Y Y test 1, sample length=26265 name chars time tokens speed(chars/second) PaodingAnalyzer 26265 0.610 12542 43036.87 MMSegAnalyzer 26265 0.314 14007 83566.52 IKAnalyzer 26265 0.262 16016 100177.91 StandardAnalyzer 26265 0.141 22366 185727.87 BaoBaoAnalyzer 26265 0.038 18185 695682.16 test 2, sample length=262650 name chars time tokens speed(chars/second) PaodingAnalyzer 262650 0.187 125420 1402139.61 IKAnalyzer 262650 0.163 160160 1613693.16 MMSegAnalyzer 262650 0.158 140070 1664009.53 BaoBaoAnalyzer 262650 0.041 181850 6362134.44 StandardAnalyzer 262650 0.020 223660 12905789.80 test 3, sample length=2626500 name chars time tokens speed(chars/second) IKAnalyzer 2626500 2.251 1601600 1166564.72 PaodingAnalyzer 2626500 1.462 1254200 1796381.55 MMSegAnalyzer 2626500 1.043 1400700 2519010.94 BaoBaoAnalyzer 2626500 0.352 1818500 7458959.20 StandardAnalyzer 2626500 0.202 2236600 13015280.16