ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 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
ArXivPDFHTML

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

12 / 12 papers shown
Title
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 text
Isaac Caswell
Lisa Wang
Isabel Papadimitriou
39
0
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
22
17
0
09 Nov 2023
Domain Adaptation of Machine Translation with Crowdworkers
Domain Adaptation of Machine Translation with Crowdworkers
Makoto Morishita
Jun Suzuki
Masaaki Nagata
37
3
0
28 Oct 2022
Scaling Up Influence Functions
Scaling Up Influence Functions
Andrea Schioppa
Polina Zablotskaia
David Vilar
Artem Sokolov
TDI
38
91
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 Survey
Danielle Saunders
AI4CE
34
86
0
14 Apr 2021
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
35
313
0
04 Dec 2019
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
Makoto Morishita
Jun Suzuki
Masaaki Nagata
LRM
38
64
0
25 Nov 2019
Microsoft Research Asia's Systems for WMT19
Microsoft Research Asia's Systems for WMT19
Yingce Xia
Xu Tan
Fei Tian
Fei Gao
Weicong Chen
...
Yiren Wang
Lijun Wu
Jinhua Zhu
Tao Qin
Tie-Yan Liu
VLM
29
26
0
07 Nov 2019
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts
Mattia Antonino Di Gangi
Robert Enyedi
A. Brusadin
Marcello Federico
33
25
0
22 Oct 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 Translation
Marcin Junczys-Dowmunt
21
156
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 Task
Rachel Bawden
Nikolay Bogoychev
Ulrich Germann
Roman Grundkiewicz
Faheem Kirefu
Antonio Valerio Miceli Barone
Alexandra Birch
22
32
0
12 Jul 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-Editing
António Vilarinho Lopes
M. Amin Farajian
Gonçalo M. Correia
Jonay Trénous
André F. T. Martins
33
35
0
30 May 2019
1