Identifying word translations in non-parallel texts
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Learning a translation lexicon from monolingual corpora
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Unsupervised analysis for decipherment problems
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Domain adaptation for statistical machine translation with domain dictionary and monolingual corpora
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Attacking decipherment problems optimally with low-order N-gram models
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Further meta-evaluation of machine translation
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
A Gibbs sampler for phrasal synchronous grammar induction
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Distributed Algorithms for Topic Models
The Journal of Machine Learning Research
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Bayesian inference for Zodiac and other homophonic ciphers
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Domain adaptation for machine translation by mining unseen words
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
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We apply slice sampling to Bayesian decipherment and use our new decipherment framework to improve out-of-domain machine translation. Compared with the state of the art algorithm, our approach is highly scalable and produces better results, which allows us to decipher ciphertext with billions of tokens and hundreds of thousands of word types with high accuracy. We decipher a large amount of monolingual data to improve out-of-domain translation and achieve significant gains of up to 3.8 BLEU points.