Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
Tang, Gongbo; Sennrich, Rico; Nivre, Joakim (2019). Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. In: Proceedings of Recent Advances in Natural Language Processing, Varna, Bulgaria, 2 September 2019 - 4 September 2019. INCOMA, 1186-1193.
Additional indexing
Item Type: | Conference or Workshop Item (Paper), refereed, original work |
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Communities & Collections: | 06 Faculty of Arts > Institute of Computational Linguistics |
Dewey Decimal Classification: | 000 Computer science, knowledge & systems
410 Linguistics |
Scopus Subject Areas: | Physical Sciences > Software
Physical Sciences > Computer Science Applications Physical Sciences > Artificial Intelligence Physical Sciences > Electrical and Electronic Engineering |
Language: | English |
Event End Date: | 4 September 2019 |
Deposited On: | 19 Sep 2019 12:06 |
Last Modified: | 18 Feb 2022 08:03 |
Publisher: | INCOMA |
ISBN: | 978-954-452-055-7 |
OA Status: | Hybrid |
Free access at: | Official URL. An embargo period may apply. |
Publisher DOI: | https://doi.org/10.26615/978-954-452-056-4_136 |
Official URL: | http://lml.bas.bg/ranlp2019/proceedings-ranlp-2019.pdf |
Permanent URL
https://doi.org/10.5167/uzh-174626Download
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