Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2009-11-30

Included Journals: Scopus、CPCI-S、EI

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.