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Improving Robustness of Machine Translation with Synthetic Noise
v1v2 (latest)

Improving Robustness of Machine Translation with Synthetic Noise

25 February 2019
Vaibhav
Sumeet Singh
Craig Alan Stewart
Graham Neubig
ArXiv (abs)PDFHTML

Papers citing "Improving Robustness of Machine Translation with Synthetic Noise"

50 / 50 papers shown
Title
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
Ahmed Alajrami
Xingwei Tan
Nikolaos Aletras
82
0
0
03 Oct 2025
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
Pratik Rakesh Singh
Kritarth Prasad
Mohammadi Zaki
Pankaj Wasnik
168
0
0
21 May 2025
From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation
From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine TranslationInternational Conference on Computational Linguistics (COLING), 2024
Ali Marashian
Enora Rice
Luke Gessler
Alexis Palmer
Katharina von der Wense
406
2
0
24 Feb 2025
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and
  Retrieval-Augmented Translation with Large Language Models
CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models
Meiqi Chen
Fandong Meng
Yingxue Zhang
Yan Zhang
Jie Zhou
179
2
0
28 Oct 2024
Harnessing the Power of Noise: A Survey of Techniques and Applications
Harnessing the Power of Noise: A Survey of Techniques and Applications
Reyhaneh Abdolazimi
Shengmin Jin
Pramod K. Varshney
Reza Zafarani
118
2
0
08 Oct 2024
Text Generation: A Systematic Literature Review of Tasks, Evaluation,
  and Challenges
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
Jonas Becker
Jan Philip Wahle
Bela Gipp
Terry Ruas
294
17
0
24 May 2024
Synthetic Data Generation and Joint Learning for Robust Code-Mixed
  Translation
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation
Kamal Kumar
Yinhan Liu
Parth Patwa
Tanmoy
Mihir Adam Roberts
226
5
0
25 Mar 2024
Did Translation Models Get More Robust Without Anyone Even Noticing?
Did Translation Models Get More Robust Without Anyone Even Noticing?
Ben Peters
Marcely Zanon Boito
219
8
0
06 Mar 2024
Language and Speech Technology for Central Kurdish Varieties
Language and Speech Technology for Central Kurdish Varieties
Sina Ahmadi
Daban Q. Jaff
Md Mahfuz Ibn Alam
Antonios Anastasopoulos
229
5
0
04 Mar 2024
Evaluating Robustness of Dialogue Summarization Models in the Presence
  of Naturally Occurring Variations
Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations
Ankita Gupta
Chulaka Gunasekara
H. Wan
Jatin Ganhotra
Sachindra Joshi
Marina Danilevsky
160
0
0
15 Nov 2023
BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy
  Text
BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Aarohi Srivastava
David Chiang
222
7
0
31 Oct 2023
ViPE: Visualise Pretty-much Everything
ViPE: Visualise Pretty-much EverythingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hassan Shahmohammadi
Adhiraj Ghosh
Hendrik P. A. Lensch
DiffM
131
3
0
16 Oct 2023
Machine Translation Models Stand Strong in the Face of Adversarial
  Attacks
Machine Translation Models Stand Strong in the Face of Adversarial AttacksInternational Joint Conference on the Analysis of Images, Social Networks and Texts (AIST), 2023
Pavel Burnyshev
Elizaveta Kostenok
Alexey Zaytsev
SILMAAML
166
0
0
10 Sep 2023
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine
  Translation for Extremely Low-resource Languages
CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Kaushal Kumar Maurya
Rahul Kejriwal
M. Desarkar
Anoop Kunchukuttan
215
1
0
09 May 2023
Make Every Example Count: On the Stability and Utility of Self-Influence
  for Learning from Noisy NLP Datasets
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP DatasetsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Irina Bejan
Artem Sokolov
Katja Filippova
TDI
279
20
0
27 Feb 2023
Improving the Robustness of Summarization Models by Detecting and
  Removing Input Noise
Improving the Robustness of Summarization Models by Detecting and Removing Input NoiseConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kundan Krishna
Yao-Min Zhao
Jie Jessie Ren
Balaji Lakshminarayanan
Jiaming Luo
Mohammad Saleh
Peter J. Liu
103
4
0
20 Dec 2022
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
273
22
0
17 Oct 2022
Checks and Strategies for Enabling Code-Switched Machine Translation
Checks and Strategies for Enabling Code-Switched Machine Translation
Thamme Gowda
Mozhdeh Gheini
Jonathan May
156
3
0
11 Oct 2022
vec2text with Round-Trip Translations
vec2text with Round-Trip Translations
Geoffrey Cideron
Sertan Girgin
Anton Raichuk
Olivier Pietquin
Olivier Bachem
Léonard Hussenot
152
3
0
14 Sep 2022
PAEG: Phrase-level Adversarial Example Generation for Neural Machine
  Translation
PAEG: Phrase-level Adversarial Example Generation for Neural Machine TranslationInternational Conference on Computational Linguistics (COLING), 2022
Juncheng Wan
Jian Yang
Shuming Ma
Dongdong Zhang
Weinan Zhang
Yong Yu
Zhoujun Li
SILMAAML
169
5
0
06 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
432
155
0
15 Dec 2021
To Augment or Not to Augment? A Comparative Study on Text Augmentation
  Techniques for Low-Resource NLP
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP
Gözde Gül Sahin
164
38
0
18 Nov 2021
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary
  Capabilities and Robustness of Char-Based Models
Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models
José Carlos Rosales Núnez
Guolong Su
Djamé Seddah
104
9
0
24 Oct 2021
Data Augmentation Methods for Anaphoric Zero Pronouns
Data Augmentation Methods for Anaphoric Zero Pronouns
Abdulrahman Aloraini
Massimo Poesio
131
5
0
20 Sep 2021
Improving Zero-shot Cross-lingual Transfer between Closely Related
  Languages by injecting Character-level Noise
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
Noëmi Aepli
Rico Sennrich
208
22
0
14 Sep 2021
Secoco: Self-Correcting Encoding for Neural Machine Translation
Secoco: Self-Correcting Encoding for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Tao Wang
Chengqi Zhao
Mingxuan Wang
Lei Li
Hang Li
Deyi Xiong
VLM
118
4
0
27 Aug 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLPFindings (Findings), 2021
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
576
895
0
07 May 2021
Addressing the Vulnerability of NMT in Input Perturbations
Addressing the Vulnerability of NMT in Input PerturbationsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Weiwen Xu
Ai Ti Aw
Yang Ding
Kui Wu
Shafiq Joty
AAML
218
11
0
20 Apr 2021
Robust Open-Vocabulary Translation from Visual Text Representations
Robust Open-Vocabulary Translation from Visual Text RepresentationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Elizabeth Salesky
David Etter
Matt Post
VLM
307
50
0
16 Apr 2021
Sometimes We Want Translationese
Sometimes We Want Translationese
Prasanna Parthasarathi
Koustuv Sinha
J. Pineau
Adina Williams
AAML
197
4
0
15 Apr 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
279
105
0
14 Apr 2021
Autocorrect in the Process of Translation -- Multi-task Learning
  Improves Dialogue Machine Translation
Autocorrect in the Process of Translation -- Multi-task Learning Improves Dialogue Machine TranslationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Tao Wang
Chengqi Zhao
Mingxuan Wang
Lei Li
Deyi Xiong
146
13
0
30 Mar 2021
Visual Cues and Error Correction for Translation Robustness
Visual Cues and Error Correction for Translation RobustnessConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Zhenhao Li
Marek Rei
Lucia Specia
196
6
0
12 Mar 2021
Synthetic Source Language Augmentation for Colloquial Neural Machine
  Translation
Synthetic Source Language Augmentation for Colloquial Neural Machine Translation
Asrul Sani Ariesandy
Mukhlis Amien
Alham Fikri Aji
Radityo Eko Prasojo
86
2
0
30 Dec 2020
Improving Text Relationship Modeling with Artificial Data
Improving Text Relationship Modeling with Artificial DataJournal of information science (JIS), 2020
Peter Organisciak
Maggie Ryan
109
1
0
27 Oct 2020
Word Shape Matters: Robust Machine Translation with Visual Embedding
Word Shape Matters: Robust Machine Translation with Visual Embedding
Haohan Wang
Peiyan Zhang
Eric Xing
331
15
0
20 Oct 2020
Robust Neural Machine Translation: Modeling Orthographic and
  Interpunctual Variation
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation
Toms Bergmanis
Arturs Stafanovivcs
Marcis Pinnis
AAML
137
7
0
11 Sep 2020
Evaluating Robustness to Input Perturbations for Neural Machine
  Translation
Evaluating Robustness to Input Perturbations for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Xing Niu
Prashant Mathur
Georgiana Dinu
Yaser Al-Onaizan
AAML
198
64
0
01 May 2020
Revisiting Round-Trip Translation for Quality Estimation
Revisiting Round-Trip Translation for Quality EstimationEuropean Association for Machine Translation Conferences/Workshops (EAMT), 2020
Jihyung Moon
Hyun Chang Cho
Eunjeong Lucy Park
101
35
0
29 Apr 2020
Transfer learning and subword sampling for asymmetric-resource
  one-to-many neural translation
Transfer learning and subword sampling for asymmetric-resource one-to-many neural translationMachine Translation (MT), 2020
Stig-Arne Gronroos
Sami Virpioja
M. Kurimo
209
7
0
08 Apr 2020
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and SurveyJournal of Artificial Intelligence Research (JAIR), 2019
Felix Stahlberg
3DVAI4TSMedIm
307
369
0
04 Dec 2019
Character-based NMT with Transformer
Character-based NMT with Transformer
Rohit Gupta
Laurent Besacier
Marc Dymetman
Matthias Gallé
166
24
0
12 Nov 2019
Machine Translation of Restaurant Reviews: New Corpus for Domain
  Adaptation and Robustness
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and RobustnessConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Alexandre Berard
Ioan Calapodescu
Marc Dymetman
Claude Roux
Jean-Luc Meunier
Vassilina Nikoulina
119
28
0
31 Oct 2019
On the use of BERT for Neural Machine Translation
On the use of BERT for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Stéphane Clinchant
K. Jung
Vassilina Nikoulina
183
96
0
27 Sep 2019
Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness
  Task
Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness TaskConference on Machine Translation (WMT), 2019
Alexandre Berard
Ioan Calapodescu
Claude Roux
VLM
139
60
0
15 Jul 2019
Findings of the First Shared Task on Machine Translation Robustness
Findings of the First Shared Task on Machine Translation RobustnessConference on Machine Translation (WMT), 2019
Xian Li
Paul Michel
Antonios Anastasopoulos
Yonatan Belinkov
Nadir Durrani
Philipp Koehn
Philipp Koehn
Graham Neubig
J. Pino
Hassan Sajjad
171
64
0
27 Jun 2019
CUNI System for the WMT19 Robustness Task
CUNI System for the WMT19 Robustness TaskConference on Machine Translation (WMT), 2019
Jindřich Helcl
Jindrich Libovický
Martin Popel
103
10
0
21 Jun 2019
Robust Machine Translation with Domain Sensitive Pseudo-Sources:
  Baidu-OSU WMT19 MT Robustness Shared Task System Report
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System ReportConference on Machine Translation (WMT), 2019
Renjie Zheng
Hairong Liu
Mingbo Ma
Baigong Zheng
Liang Huang
189
11
0
19 Jun 2019
An Analysis of Source-Side Grammatical Errors in NMT
An Analysis of Source-Side Grammatical Errors in NMT
Antonios Anastasopoulos
84
18
0
24 May 2019
Training on Synthetic Noise Improves Robustness to Natural Noise in
  Machine Translation
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation
Vladimir Karpukhin
Omer Levy
Jacob Eisenstein
Marjan Ghazvininejad
122
126
0
05 Feb 2019
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