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. 1911.03823
  4. Cited By
Translationese as a Language in "Multilingual" NMT

Translationese as a Language in "Multilingual" NMT

10 November 2019
Parker Riley
Isaac Caswell
Markus Freitag
David Grangier
ArXivPDFHTML

Papers citing "Translationese as a Language in "Multilingual" NMT"

11 / 11 papers shown
Title
On Evaluating Multilingual Compositional Generalization with Translated
  Datasets
On Evaluating Multilingual Compositional Generalization with Translated Datasets
Zi Wang
Daniel Hershcovich
28
7
0
20 Jun 2023
Understanding Translationese in Cross-Lingual Summarization
Understanding Translationese in Cross-Lingual Summarization
Jiaan Wang
Fandong Meng
Yunlong Liang
Tingyi Zhang
Jiarong Xu
Zhixu Li
Jie Zhou
27
15
0
14 Dec 2022
Explaining Translationese: why are Neural Classifiers Better and what do
  they Learn?
Explaining Translationese: why are Neural Classifiers Better and what do they Learn?
Kwabena Amponsah-Kaakyire
Daria Pylypenko
Josef van Genabith
C. España-Bonet
26
6
0
24 Oct 2022
Lack of Fluency is Hurting Your Translation Model
Lack of Fluency is Hurting Your Translation Model
J. Yoo
Jaewoo Kang
20
0
0
24 May 2022
Towards Debiasing Translation Artifacts
Towards Debiasing Translation Artifacts
Koel Dutta Chowdhury
Rricha Jalota
C. España-Bonet
Josef van Genabith
28
6
0
16 May 2022
Original or Translated? A Causal Analysis of the Impact of
  Translationese on Machine Translation Performance
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance
Jingwei Ni
Zhijing Jin
Markus Freitag
Mrinmaya Sachan
Bernhard Schölkopf
29
14
0
04 May 2022
Causal Direction of Data Collection Matters: Implications of Causal and
  Anticausal Learning for NLP
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
Zhijing Jin
Julius von Kügelgen
Jingwei Ni
Tejas Vaidhya
Ayush Kaushal
Mrinmaya Sachan
Bernhard Schoelkopf
CML
38
30
0
07 Oct 2021
Scaling Laws for Neural Machine Translation
Scaling Laws for Neural Machine Translation
Behrooz Ghorbani
Orhan Firat
Markus Freitag
Ankur Bapna
M. Krikun
Xavier Garcia
Ciprian Chelba
Colin Cherry
40
99
0
16 Sep 2021
HintedBT: Augmenting Back-Translation with Quality and Transliteration
  Hints
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
Sahana Ramnath
Melvin Johnson
Abhirut Gupta
A. Raghuveer
48
8
0
09 Sep 2021
On the Language Coverage Bias for Neural Machine Translation
On the Language Coverage Bias for Neural Machine Translation
Shuo Wang
Zhaopeng Tu
Zhixing Tan
Shuming Shi
Maosong Sun
Yang Liu
16
19
0
07 Jun 2021
Domain, Translationese and Noise in Synthetic Data for Neural Machine
  Translation
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation
Nikolay Bogoychev
Rico Sennrich
16
50
0
06 Nov 2019
1