The Study Of Automatic Chinese Phoneticize Label Based On Automatic Word Segmentation

The aim of this dissertation is to provide an algorithm of high efficiency and accuracy which can transfer Chinese character text into Chinese phonetic system(Pinyin) for upper language use.The upper language use includes speech output,system of reader with phonetic symbols,the teaching of Chinese as a foreign language.The core of the algorithm is to identify Chinese polyphone.Polyphone can be well identified in word processing through our research.Therefore,the first step of our research is automatic segmentation.The research is based on optimization and integrity of word processing of generation of thesaurus by Luo Haiqing in Hunan University.The accuracy of word processing is improved by extending basic,pre and post morpheme,adding research of terminology and idiom vocabulary.The second step is to collect all polyphones and their related words in character set GB2312,design algorithm to transfer character into Pinyin and deal with sound change in the program on the basis of automatic segmentation.The accuracy of the final program transferring character text into Pinyin is 99%through constant experimentations,which can meet the needs of practical application.