Learning Phoneme Mappings for Transliteration without Parallel Data.
NAACL '09: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics（2009）
摘要
We present a method for performing machine transliteration without any parallel resources. We frame the transliteration task as a decipherment problem and show that it is possible to learn cross-language phoneme mapping tables using only monolingual resources. We compare various methods and evaluate their accuracies on a standard name transliteration task.
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关键词
machine transliteration,standard name transliteration task,transliteration task,cross-language phoneme mapping table,decipherment problem,monolingual resource,parallel resource,various method,parallel data
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