The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A joint source-channel model for machine transliteration
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A generic framework for machine transliteration
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
NEWS '10 Proceedings of the 2010 Named Entities Workshop
Phrase-based transliteration system with simple heuristics
NEWS '10 Proceedings of the 2010 Named Entities Workshop
Nonparametric Bayesian machine transliteration with synchronous adaptor grammars
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
| Hi-index | 0.00 |
The system presented in this paper uses phrase-based statistical machine translation (SMT) techniques to directly transliterate between all language pairs in this shared task. The technique makes no language specific assumptions, uses no dictionaries or explicit phonetic information. The translation process transforms sequences of tokens in the source language directly into to sequences of tokens in the target. All language pairs were transliterated by applying this technique in a single unified manner. The machine translation system used was a system comprised of two phrase-based SMT decoders. The first generated from the first token of the target to the last. The second system generated the target from last to first. Our results show that if only one of these decoding strategies is to be chosen, the optimal choice depends on the languages involved, and that in general a combination of the two approaches is able to outperform either approach.