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Elimination Method Study of Ambiguous Words in Chinese Automatic Indexing

机译:中文自动索引中歧义词的消除方法研究

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Faced with huge amounts of information to realize the accurate retrieval under the network environment, the first step is indexing words cannot appear ambiguity word. Because Chinese's the basic unit is Chinese characters, Chinese characters form words, Word is divided into monosyllabic word and compound word, and there's no space between Chinese keywords and there are a lot of ambiguous concept. Therefore a lot of ambiguity in the indexing process will be produced. The result detected information of irrelevant or mistakenly identified. The paper focuses on a method to eliminating the crossed meanings ambiguous words in the automatic indexing. The paper puts forward a method to eliminating ambiguous words combined algorithm of exhaustive method and disambiguation rules. Experiments show that it can avoid a great lot segmenting ambiguities with better segmenting results.
机译:面对海量信息以实现网络环境下的准确检索,第一步是索引词不能出现歧义词。因为中文的基本单位是汉字,所以汉字组成单词,单词分为单音节词和复合词,中文关键词之间没有空格,概念也有很多歧义。因此,在索引过程中会产生很多歧义。结果检测到无关或错误识别的信息。本文着重研究了一种在自动索引中消除交叉含义的歧义词的方法。提出了一种穷举法和歧义消除算法相结合的消除歧义词的方法。实验表明,该算法可以避免较大的切分歧义,从而得到更好的切分结果。

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