Modeling impression in probabilistic transliteration into Chinese

Authors:
LiLi Xu;Atsushi Fujii;Tetsuya Ishikawa
Affiliations:
University of Tsukuba, Tsukuba, Japan;University of Tsukuba, Tsukuba, Japan;The University of Tokyo, Bunkyo-ku, Tokyo, Japan
Venue:
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Year:
2006

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Abstract

For transliterating foreign words into Chinese, the pronunciation of a source word is spelled out with Kanji characters. Because Kanji comprises ideograms, an individual pronunciation may be represented by more than one character. However, because different Kanji characters convey different meanings and impressions, characters must be selected carefully. In this paper, we propose a transliteration method that models both pronunciation and impression, whereas existing methods do not model impression. Given a source word and impression keywords related to the source word, our method derives possible transliteration candidates and sorts them according to their probability. We evaluate our method experimentally.