Empirical Study of Dropout Scheme for Neural Machine Translation

Xiaolin Wang, Masao Utiyama, Eiichiro Sumita


Anthology ID:
2017.mtsummit-papers.1
Volume:
Proceedings of Machine Translation Summit XVI: Research Track
Month:
September 18 – September 22
Year:
2017
Address:
Nagoya Japan
Venue:
MTSummit
SIG:
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Note:
Pages:
1–14
Language:
URL:
https://aclanthology.org/2017.mtsummit-papers.1
DOI:
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Cite (ACL):
Xiaolin Wang, Masao Utiyama, and Eiichiro Sumita. 2017. Empirical Study of Dropout Scheme for Neural Machine Translation. In Proceedings of Machine Translation Summit XVI: Research Track, pages 1–14, Nagoya Japan.
Cite (Informal):
Empirical Study of Dropout Scheme for Neural Machine Translation (Wang et al., MTSummit 2017)
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PDF:
https://preview.aclanthology.org/remove-xml-comments/2017.mtsummit-papers.1.pdf