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Indexed by:会议论文

Date of Publication:2009-11-30

Included Journals:EI、CPCI-S、Scopus

Volume:1

Page Number:434-+

Key Words:rhyme; statistical model; translation

Abstract: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.