点击次数：

论文类型：会议论文

发表时间：2009-11-30

收录刊物：EI、CPCI-S、Scopus

卷号：1

页面范围：434-+

关键字：rhyme; statistical model; translation

摘要：Translating Chinese ancient poem is a valuable but hard thing. Automatic choosing of English rhymes in translation of Chinese ancient poems would do translators a favor. This paper extracts three important factors that influence English rhymes, and presents a set of statistical models based on these factors, and then trains these models and acquires their parameters, which at last are used to recommend a list of rhyme for each row of the English version of the poems. Experimental results show that the method is valid and the recommending list is valuable for translators.