Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality

Zhongjun He, Hua Wu, Haifeng Wang, Ting Liu


Anthology ID:
D14-1016
Volume:
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
October
Year:
2014
Address:
Doha, Qatar
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
147–152
Language:
URL:
https://aclanthology.org/D14-1016
DOI:
10.3115/v1/D14-1016
Bibkey:
Cite (ACL):
Zhongjun He, Hua Wu, Haifeng Wang, and Ting Liu. 2014. Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 147–152, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality (He et al., EMNLP 2014)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/D14-1016.pdf