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Has Machine Translation Achieved Human Parity? A Case for Document-level
  Evaluation

Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation

21 August 2018
Samuel Läubli
Rico Sennrich
M. Volk
ArXivPDFHTML

Papers citing "Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation"

10 / 10 papers shown
Title
A comparison of translation performance between DeepL and Supertext
A comparison of translation performance between DeepL and Supertext
Alex Flückiger
Chantal Amrhein
Tim Graf
Frédéric Odermatt
Martin Pömsl
Philippe Schläpfer
Florian Schottmann
Samuel Läubli
ELM
78
0
0
04 Feb 2025
Controlling the Output Length of Neural Machine Translation
Controlling the Output Length of Neural Machine Translation
Surafel Melaku Lakew
Mattia Antonino Di Gangi
Marcello Federico
105
68
0
23 Oct 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
57
190
0
30 Aug 2018
Achieving Human Parity on Automatic Chinese to English News Translation
Achieving Human Parity on Automatic Chinese to English News Translation
Hany Hassan
Anthony Aue
Chang Chen
Vishal Chowdhary
Jonathan Clark
...
Shuangzhi Wu
Yingce Xia
Dongdong Zhang
Zhirui Zhang
Ming Zhou
70
606
0
15 Mar 2018
The University of Edinburgh's Neural MT Systems for WMT17
The University of Edinburgh's Neural MT Systems for WMT17
Rico Sennrich
Alexandra Birch
Anna Currey
Ulrich Germann
Barry Haddow
Kenneth Heafield
Antonio Valerio Miceli Barone
Philip Williams
MoE
71
182
0
02 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
698
131,652
0
12 Jun 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
894
6,790
0
26 Sep 2016
Edinburgh Neural Machine Translation Systems for WMT 16
Edinburgh Neural Machine Translation Systems for WMT 16
Rico Sennrich
Barry Haddow
Alexandra Birch
67
524
0
09 Jun 2016
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
434
20,553
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
552
27,300
0
01 Sep 2014
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