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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

12 May 2020
Antonio Toral
ArXivPDFHTML

Papers citing "Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019"

6 / 6 papers shown
Title
Toward Human-Like Evaluation for Natural Language Generation with Error
  Analysis
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
Qingyu Lu
Liang Ding
Liping Xie
Kanjian Zhang
Derek F. Wong
Dacheng Tao
ELM
ALM
34
14
0
20 Dec 2022
Spinning Language Models: Risks of Propaganda-As-A-Service and
  Countermeasures
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures
Eugene Bagdasaryan
Vitaly Shmatikov
SILM
AAML
27
76
0
09 Dec 2021
High Quality Rather than High Model Probability: Minimum Bayes Risk
  Decoding with Neural Metrics
High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics
Markus Freitag
David Grangier
Qijun Tan
Bowen Liang
27
92
0
17 Nov 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors
Eugene Bagdasaryan
Vitaly Shmatikov
SILM
AAML
38
8
0
22 Jul 2021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation
  for Machine Translation
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Markus Freitag
George F. Foster
David Grangier
Viresh Ratnakar
Qijun Tan
Wolfgang Macherey
19
373
0
29 Apr 2021
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Neural versus Phrase-Based Machine Translation Quality: a Case Study
L. Bentivogli
Arianna Bisazza
Mauro Cettolo
Marcello Federico
191
328
0
16 Aug 2016
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