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“语境相关”自动分词方法
CMAS: A KNOWLEDGE-BASED METHOD OF AUTOMATIC SEGMENTATION OF WRITTEN CHINESE
【摘要】 本文提出了一种基于知识的书面汉语自动分词方法——语境相关法(CMAS)。CMAS系统通过将词典组织成ATN结构、分词知识分散化、分词处理与句法语义处理的并行等手段,能够处理现有种种分词方法所不能处理的词链现象,并实现分词与理解的并行。
【Abstract】 This article presents a knowledge-based method of automatic segmentation of written Chinese i.e.so called CMAS(Content-sensitive Method of Automatic Segmentation). By organizing dictionary into ATN structure, decentralizing the segmentation knowledge and paralleling the segmentation process and the syntax semanteme process etc., CMAS system can handle the phenonmena of word chains which all existing method can not deal with. In the system, the segme ntation process is parallel with understanding process.
- 【文献出处】 情报学报 ,Journal of The China Society For Scientific and Technical Information , 编辑部邮箱 ,1989年04期
- 【分类号】TP391.1
- 【被引频次】2
- 【下载频次】9