Paper: Modeling Impression In Probabilistic Transliteration Into Chinese

ACL ID W06-1629
Title Modeling Impression In Probabilistic Transliteration Into Chinese
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2006
Authors

For transliterating foreign words into Chi- nese, the pronunciation of a source word is spelled out with Kanji characters. Be- cause Kanji comprises ideograms, an indi- vidual pronunciation may be represented by more than one character. However, because different Kanji characters convey different meanings and impressions, char- acters must be selected carefully. In this paper, we propose a transliteration method that models both pronunciation and im- pression, 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 evalu- ate our method experimentally.