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Encoders Help You Disambiguate Word Senses in Neural Machine Translation
v1v2 (latest)

Encoders Help You Disambiguate Word Senses in Neural Machine Translation

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
30 August 2019
Gongbo Tang
Rico Sennrich
Joakim Nivre
ArXiv (abs)PDFHTML

Papers citing "Encoders Help You Disambiguate Word Senses in Neural Machine Translation"

12 / 12 papers shown
Title
Predicting Human Translation Difficulty with Neural Machine Translation
Predicting Human Translation Difficulty with Neural Machine Translation
Zheng Wei Lim
Ekaterina Vylomova
Charles Kemp
Trevor Cohn
171
1
0
19 Dec 2023
Code-Switching with Word Senses for Pretraining in Neural Machine
  Translation
Code-Switching with Word Senses for Pretraining in Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Vivek Iyer
Edoardo Barba
Alexandra Birch
Jeff Z. Pan
Roberto Navigli
171
3
0
21 Oct 2023
Towards Effective Disambiguation for Machine Translation with Large
  Language Models
Towards Effective Disambiguation for Machine Translation with Large Language ModelsConference on Machine Translation (WMT), 2023
Vivek Iyer
Pinzhen Chen
Alexandra Birch
200
16
0
20 Sep 2023
Learning Homographic Disambiguation Representation for Neural Machine
  Translation
Learning Homographic Disambiguation Representation for Neural Machine Translation
Weixuan Wang
Wei Peng
Qun Liu
167
0
0
12 Apr 2023
Can Transformer be Too Compositional? Analysing Idiom Processing in
  Neural Machine Translation
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Verna Dankers
Christopher G. Lucas
Ivan Titov
163
42
0
30 May 2022
On the Complementarity between Pre-Training and Back-Translation for
  Neural Machine Translation
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
Xuebo Liu
Longyue Wang
Yang Li
Liang Ding
Lidia S. Chao
Shuming Shi
Zhaopeng Tu
138
28
0
05 Oct 2021
Rethinking the Value of Transformer Components
Rethinking the Value of Transformer Components
Wenxuan Wang
Zhaopeng Tu
128
47
0
07 Nov 2020
Understanding Pure Character-Based Neural Machine Translation: The Case
  of Translating Finnish into English
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
Gongbo Tang
Rico Sennrich
Joakim Nivre
154
7
0
06 Nov 2020
Detecting Word Sense Disambiguation Biases in Machine Translation for
  Model-Agnostic Adversarial Attacks
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
Denis Emelin
Ivan Titov
Rico Sennrich
AAML
132
6
0
03 Nov 2020
On the Sub-Layer Functionalities of Transformer Decoder
On the Sub-Layer Functionalities of Transformer DecoderFindings (Findings), 2020
Yilin Yang
Longyue Wang
Shuming Shi
Prasad Tadepalli
Stefan Lee
Zhaopeng Tu
181
28
0
06 Oct 2020
Probing Word Translations in the Transformer and Trading Decoder for
  Encoder Layers
Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers
Hongfei Xu
Josef van Genabith
Qiuhui Liu
Deyi Xiong
115
3
0
21 Mar 2020
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine
  Translation
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine TranslationFindings (Findings), 2020
Alessandro Raganato
Yves Scherrer
Jörg Tiedemann
311
96
0
24 Feb 2020
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