Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models

Minh-Thang Luong, Christopher D. Manning


Anthology ID:
P16-1100
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1054–1063
Language:
URL:
https://aclanthology.org/P16-1100
DOI:
10.18653/v1/P16-1100
Bibkey:
Cite (ACL):
Minh-Thang Luong and Christopher D. Manning. 2016. Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1054–1063, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models (Luong & Manning, ACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/P16-1100.pdf
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