Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40870
Title: Nonparametric Bayesian machine transliteration with synchronous adaptor grammars
Authors: Huang, Y.
Zhang, M.
Tan, C.L. 
Issue Date: 2011
Source: Huang, Y.,Zhang, M.,Tan, C.L. (2011). Nonparametric Bayesian machine transliteration with synchronous adaptor grammars. ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies 2 : 534-539. ScholarBank@NUS Repository.
Abstract: Machine transliteration is defined as automatic phonetic translation of names across languages. In this paper, we propose synchronous adaptor grammar, a novel nonparametric Bayesian learning approach, for machine transliteration. This model provides a general framework without heuristic or restriction to automatically learn syllable equivalents between languages. The proposed model outperforms the state-of-the-art EMbased model in the English to Chinese transliteration task. © 2011 Association for Computational Linguistics.
Source Title: ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
URI: http://scholarbank.nus.edu.sg/handle/10635/40870
ISBN: 9781932432886
Appears in Collections:Staff Publications

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