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Revisiting Low-Resource Neural Machine Translation: A Case Study


Sennrich, Rico; Zhang, Biao (2019). Revisiting Low-Resource Neural Machine Translation: A Case Study. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, Florence, Italy, 28 July 2019 - 2 August 2019, 211-221.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:2 August 2019
Deposited On:15 Aug 2019 15:26
Last Modified:25 Sep 2019 00:40
Publisher:Association for Computational Linguistics
OA Status:Closed
Official URL:https://www.aclweb.org/anthology/P19-1021
Project Information:
  • : FunderSNSF
  • : Grant ID105212_169888
  • : Project TitleRich Context in Neural Machine Translation

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