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

21 August 2018

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 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 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 Antonio Toral Sheila Castilho Ke Hu Andy Way 57 190 0 30 Aug 2018
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 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 Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
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 Rico Sennrich Barry Haddow Alexandra Birch 67 524 0 09 Jun 2016
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 Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 552 27,311 0 01 Sep 2014