ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.00196
  4. Cited By
Microsoft's Submission to the WMT2018 News Translation Task: How I
  Learned to Stop Worrying and Love the Data

Microsoft's Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data

1 September 2018
Marcin Junczys-Dowmunt
ArXiv (abs)PDFHTML

Papers citing "Microsoft's Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data"

18 / 18 papers shown
Separating the Wheat from the Chaff with BREAD: An open-source benchmark
  and metrics to detect redundancy in text
Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in textIEEE Games Entertainment Media Conference (IEEE GEM), 2023
Isaac Caswell
Lisa Wang
Isabel Papadimitriou
272
1
0
11 Nov 2023
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering
Jan-Thorsten Peter
David Vilar
Daniel Deutsch
Mara Finkelstein
Juraj Juraska
Markus Freitag
203
24
0
09 Nov 2023
Domain Adaptation of Machine Translation with Crowdworkers
Domain Adaptation of Machine Translation with CrowdworkersConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Makoto Morishita
Jun Suzuki
Masaaki Nagata
237
4
0
28 Oct 2022
Scaling Up Influence Functions
Scaling Up Influence FunctionsAAAI Conference on Artificial Intelligence (AAAI), 2021
Andrea Schioppa
Polina Zablotskaia
David Vilar
Artem Sokolov
TDI
433
147
0
06 Dec 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A SurveyJournal of Artificial Intelligence Research (JAIR), 2021
Danielle Saunders
AI4CE
439
113
0
14 Apr 2021
What's the Difference Between Professional Human and Machine
  Translation? A Blind Multi-language Study on Domain-specific MT
What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT
Lukas Fischer
Samuel Läubli
VLM
189
4
0
08 Jun 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language
  Processing
HAT: Hardware-Aware Transformers for Efficient Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Hanrui Wang
Zhanghao Wu
Zhijian Liu
Han Cai
Ligeng Zhu
Chuang Gan
Song Han
357
287
0
28 May 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and SurveyJournal of Artificial Intelligence Research (JAIR), 2019
Felix Stahlberg
3DVAI4TSMedIm
486
404
0
04 Dec 2019
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel CorpusInternational Conference on Language Resources and Evaluation (LREC), 2019
Makoto Morishita
Jun Suzuki
Masaaki Nagata
LRM
366
68
0
25 Nov 2019
Microsoft Research Asia's Systems for WMT19
Microsoft Research Asia's Systems for WMT19Conference on Machine Translation (WMT), 2019
Ziheng Lu
Xu Tan
Fei Tian
Fei Gao
Weicong Chen
...
Yiren Wang
Lijun Wu
Jinhua Zhu
Tao Qin
Tie-Yan Liu
VLM
231
26
0
07 Nov 2019
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts
Robust Neural Machine Translation for Clean and Noisy Speech TranscriptsInternational Workshop on Spoken Language Translation (IWSLT), 2019
Mattia Antonino Di Gangi
Robert Enyedi
A. Brusadin
Marcello Federico
217
27
0
22 Oct 2019
Simple and Effective Noisy Channel Modeling for Neural Machine
  Translation
Simple and Effective Noisy Channel Modeling for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Kyra Yee
Nathan Ng
Yann N. Dauphin
Michael Auli
255
83
0
15 Aug 2019
Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level
  Neural Machine Translation
Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine TranslationConference on Machine Translation (WMT), 2019
Marcin Junczys-Dowmunt
248
169
0
14 Jul 2019
The University of Edinburgh's Submissions to the WMT19 News Translation
  Task
The University of Edinburgh's Submissions to the WMT19 News Translation TaskConference on Machine Translation (WMT), 2019
Rachel Bawden
Nikolay Bogoychev
Ulrich Germann
Roman Grundkiewicz
Faheem Kirefu
Antonio Valerio Miceli Barone
Alexandra Birch
155
33
0
12 Jul 2019
Depth Growing for Neural Machine Translation
Depth Growing for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Lijun Wu
Yiren Wang
Ziheng Lu
Fei Tian
Fei Gao
Tao Qin
Jianhuang Lai
Tie-Yan Liu
224
44
0
03 Jul 2019
Cued@wmt19:ewc&lms
Cued@wmt19:ewc&lmsConference on Machine Translation (WMT), 2019
Felix Stahlberg
Danielle Saunders
Adria de Gispert
Bill Byrne
240
13
0
11 Jun 2019
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based
  Encoder-Decoder for Automatic Post-Editing
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-EditingConference on Machine Translation (WMT), 2019
António Vilarinho Lopes
M. Amin Farajian
Gonçalo M. Correia
Jonay Trénous
André F. T. Martins
305
36
0
30 May 2019
APE at Scale and its Implications on MT Evaluation Biases
APE at Scale and its Implications on MT Evaluation Biases
Markus Freitag
Isaac Caswell
Scott Roy
ALM
217
8
0
09 Apr 2019
1
Page 1 of 1