Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation

Anthology ID:: D14-1061
Volume:: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:: October
Year:: 2014
Address:: Doha, Qatar
Editors:: Alessandro Moschitti, Bo Pang, Walter Daelemans
Venue:: EMNLP
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 557–565
Language:
URL:: https://preview.aclanthology.org/add_missing_videos/D14-1061/
DOI:: 10.3115/v1/D14-1061
Bibkey:
Cite (ACL):: Qing Dou, Ashish Vaswani, and Kevin Knight. 2014. Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 557–565, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):: Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation (Dou et al., EMNLP 2014)
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PDF:: https://preview.aclanthology.org/add_missing_videos/D14-1061.pdf
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