| 基于统计的无词典分词方法 |
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| 引用本文： | 傅赛香,袁鼎荣,黄柏雄,钟智.基于统计的无词典分词方法[J].广西科学院学报,2002,18(4):252-255,264. |
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| 作者姓名： | 傅赛香 袁鼎荣 黄柏雄 钟智 |
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| 作者单位： | 1. 中国科学院计算技术研究所智能信息处理开放实验室,北京,100080
2. 广西师范大学计算机科学系,桂林,541004 |
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| 摘 要： | 通过分析词的结合模式，提出无词典分词模型，并对该模型进行实验测试。测试结果表明，无词典分词模型能够满足快速分词的要求。
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| 关 键 词： | 分词方法 自动分词 无词典分词 词条过滤 词条统计 中文信息处理 |
| 收稿时间： | 2002/6/8 0:00:00 |
Word Extraction without Dictionary Based on Statistics |
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| Fu Saixiang,Yuan Dingrong,Huang Boxiong and Zhong Zhi.Word Extraction without Dictionary Based on Statistics[J].Journal of Guangxi Academy of Sciences,2002,18(4):252-255,264. |
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| Authors: | Fu Saixiang Yuan Dingrong Huang Boxiong and Zhong Zhi |
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| Institution: | The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, CAS, Beijing, 100080,Department of Computer Science, Guangxi Normal University, Guilin, 541004,Department of Computer Science, Guangxi Normal University, Guilin, 541004 and Department of Computer Science, Guangxi Normal University, Guilin, 541004 |
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| Abstract: | The method for extracting words without dictionary based on statistics is discussed.Three principles on word filtering are proposed by analyzing the combination models of words.The model for word extraction is developed,and meet the requirement of rapid extraction in the experiments. |
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| Keywords: | automated word extraction word extracting without dictionary word filtering word statistics |
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