Discriminative substring decoding for transliteration
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Latent class transliteration based on source language origin
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Whitepaper of NEWS 2012 shared task on machine transliteration
NEWS '12 Proceedings of the 4th Named Entity Workshop
Report of NEWS 2012 machine transliteration shared task
NEWS '12 Proceedings of the 4th Named Entity Workshop
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We developed a machine transliteration system combining mpaligner (an improvement of m2m-aligner), DirecTL+, and some Japanese-specific heuristics for the purpose of NEWS 2012. Our results show that mpaligner is greatly better than m2m-aligner, and the Japanese-specific heuristics are effective for JnJk and EnJa tasks. While m2m-aligner is not good at long alignment, mpaligner performs well at longer alignment without any length limit. In JnJk and EnJa tasks, it is crucial to handle long alignment. An experimental result revealed that de-romanization, which is reverse operation of romanization, is crucial for JnJk task. In EnJa task, it is shown that mora is the best alignment unit for Japanese language.