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Domain, Translationese and Noise in Synthetic Data for Neural Machine
  Translation

Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation

6 November 2019
Nikolay Bogoychev
Rico Sennrich
ArXivPDFHTML

Papers citing "Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation"

11 / 11 papers shown
Title
Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data
Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data
Maxime Bouthors
Josep Crego
François Yvon
RALM
LRM
53
0
0
30 Apr 2025
Script Normalization for Unconventional Writing of Under-Resourced
  Languages in Bilingual Communities
Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities
Sina Ahmadi
Antonios Anastasopoulos
34
1
0
25 May 2023
Target-Side Augmentation for Document-Level Machine Translation
Target-Side Augmentation for Document-Level Machine Translation
Guangsheng Bao
Zhiyang Teng
Yue Zhang
26
10
0
08 May 2023
SegAugment: Maximizing the Utility of Speech Translation Data with
  Segmentation-based Augmentations
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
Ioannis Tsiamas
José A. R. Fonollosa
Marta R. Costa-jussá
41
6
0
19 Dec 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
35
30
0
07 Oct 2021
Beyond Distillation: Task-level Mixture-of-Experts for Efficient
  Inference
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Sneha Kudugunta
Yanping Huang
Ankur Bapna
M. Krikun
Dmitry Lepikhin
Minh-Thang Luong
Orhan Firat
MoE
119
106
0
24 Sep 2021
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21
Lihua Qian
Yi Zhou
Zaixiang Zheng
Yaoming Zhu
Zehui Lin
Jiangtao Feng
Shanbo Cheng
Lei Li
Mingxuan Wang
Hao Zhou
10
18
0
23 Sep 2021
Facebook AI WMT21 News Translation Task Submission
Facebook AI WMT21 News Translation Task Submission
C. Tran
Shruti Bhosale
James Cross
Philipp Koehn
Sergey Edunov
Angela Fan
VLM
134
81
0
06 Aug 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
13
19
0
07 Jun 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
25
85
0
14 Apr 2021
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