RULE-BASED POST-PROCESSING OF PINYIN TO1 CHINESE CHARACTERS CONVERSION SYSTEM

Statistical method is a good way for pinyin to Chinese characters conversion and has gotten preferable conversion rate. However, there are still several percent words cannot be converted correctly with the method. This paper presents an error correction approach based on grammatical and semantic rules. According to the conversion results and neighboring information obtained from pinyin to Chinese characters using statistical method, we build a knowledge base consists of phrase rules, syntactic rules and semantic rules. By analyzing the syntactic structure of sentences, we check the semantic correction at some local part of speech node. This method is used for error correction as a post processing method under the assumption of localized error point at preliminary experiment. The experiments prove that the correct conversion rate is improved based on rule method