基于多知识源的同音词识别方法

Approaches for Recognition of Chinese Homophone Words Based on the Multiple Knowledge Sources

本文提出了基于多知识源的同音词识别方法。该方法利用上下文条件测试函数实现了不定范围的信息相关处理，并根据词性、语义、位置、音节和词频等多种关联信息进行同音词综合识别，取得了较好的同音词识别效果。

This paper presents the methods for recognition of Chinese homophone words adopted by ICP system,which is a Pinyin-Chinese characters conversion system.The methods take advantages of the context text function and realize the related information processing in indefinite range within a sentence.The part-of-speech,semantic meaning,position and the frequencies of words are all considered as the evidence to recognize the Chinese homophone words by ICP system.ICP gets a high correct ratio of recognition of homophone words.