Learning to find transliteration on the web

Authors:
Chien-Cheng Wu;Jason S. Chang
Affiliations:
National Tsing Hua University, Hsin chu, Taiwan;National Tsing Hua University, Hsin chu, Taiwan
Venue:
NAACL-Demonstrations '07 Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
Year:
2007

Citing 5
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Abstract

This prototype demonstrate a novel method for learning to find transliterations of proper nouns on the Web based on query expansion aimed at maximizing the probability of retrieving transliterations from existing search engines. Since the method we used involves learning the morphological relationships between names and their transliterations, we refer to this IR-based approach as morphological query expansion for machine transliteration. The morphological query expansion approach is general in scope and can be applied to translation and transliteration, but we focus on transliteration in this paper.