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On Systematic Style Differences between Unsupervised and Supervised MT
  and an Application for High-Resource Machine Translation

On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation

30 June 2021
Kelly Marchisio
Markus Freitag
David Grangier
ArXivPDFHTML

Papers citing "On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation"

13 / 13 papers shown
Title
Reassessing Claims of Human Parity and Super-Human Performance in
  Machine Translation at WMT 2019
Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019
Antonio Toral
52
43
0
12 May 2020
Domain, Translationese and Noise in Synthetic Data for Neural Machine
  Translation
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation
Nikolay Bogoychev
Rico Sennrich
38
51
0
06 Nov 2019
On The Evaluation of Machine Translation Systems Trained With
  Back-Translation
On The Evaluation of Machine Translation Systems Trained With Back-Translation
Sergey Edunov
Myle Ott
MarcÁurelio Ranzato
Michael Auli
36
97
0
14 Aug 2019
Post-editese: an Exacerbated Translationese
Post-editese: an Exacerbated Translationese
Antonio Toral
52
81
0
01 Jul 2019
Lost in Translation: Loss and Decay of Linguistic Richness in Machine
  Translation
Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation
Eva Vanmassenhove
D. Shterionov
Andy Way
41
92
0
28 Jun 2019
Tagged Back-Translation
Tagged Back-Translation
Isaac Caswell
Ciprian Chelba
David Grangier
97
218
0
15 Jun 2019
MASS: Masked Sequence to Sequence Pre-training for Language Generation
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie-Yan Liu
106
965
0
07 May 2019
An Effective Approach to Unsupervised Machine Translation
An Effective Approach to Unsupervised Machine Translation
Mikel Artetxe
Gorka Labaka
Eneko Agirre
42
154
0
04 Feb 2019
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural
  Machine Translation
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral
Sheila Castilho
Ke Hu
Andy Way
48
190
0
30 Aug 2018
A Call for Clarity in Reporting BLEU Scores
A Call for Clarity in Reporting BLEU Scores
Matt Post
129
2,978
0
23 Apr 2018
Unsupervised Machine Translation Using Monolingual Corpora Only
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample
Alexis Conneau
Ludovic Denoyer
MarcÁurelio Ranzato
SSL
105
1,094
0
31 Oct 2017
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
284
1,655
0
11 Oct 2017
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
241
2,716
0
20 Nov 2015
1