计算机科学 ›› 2011, Vol. 38 ›› Issue (Z10): 189-191.

• CRSSC-CWI-CGrC2015 • 上一篇    下一篇

基于形式概念分析的词义理解研究

杨帆,翟岩慧,曲开社,李德玉   

  1. (山西大学计算机与信息技术学院 太原030006)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受山酉省自然科学基金(2010011021-1),国家自然科学基金(61070100,60970014)资助。

Study on Word Meaning Comprehension Based on Formal Concept Analysis

YANG Fan, ZHAI Yan-hui,QU Kai-she, LI De-yu   

  • Online:2018-11-16 Published:2018-11-16

摘要: 探讨了形式概念分析在自然语言理解中的多义词分析及义素分析中的应用。在对多义词进行分析时,根据词性与词义之间的二元关系,构造词性与词义的决策背景,进而发现了词性与词义之间的决策规则,并对这些决策规则进行了解释;在对义素分析进行研究时,根据语言对象及其语义特征之间的二元关系构造形式背景,并在此背景上分析语言对象,实例表明了形式概念分析既可以很容易地对词语进行分类,又可以很直观地反映词类之间的关系,是进行义素分析的一种有效工具。

关键词: 形式概念分析,概念格,多义词,义素分析

Abstract: We discussed polysemy analysis and semantic analysis based on formal concept analysis. On polysemy analysis, we generated a decision context based on relations between word meanings and the corresponding parts of speech.And then we extracted the decision rules from the context and gave them explanations. On semantic analysis,we formed a formal context based on relations between linguistic objects and their semantic features, and analyzed them according to formal concept analysis. Experiments show that we can not only classify the linguistic objects easily, but view reladons between different word classifications intuitively, and that formal concept analysis is an efficient tool for semantic analysis.

Key words: Formal concept analysis, Concept lattice, Polysemy, Semantic analysis

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