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Evaluating Robustness to Input Perturbations for Neural Machine
  Translation

Evaluating Robustness to Input Perturbations for Neural Machine Translation

1 May 2020
Xing Niu
Prashant Mathur
Georgiana Dinu
Yaser Al-Onaizan
    AAML
ArXivPDFHTML

Papers citing "Evaluating Robustness to Input Perturbations for Neural Machine Translation"

13 / 13 papers shown
Title
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Paulo Cavalin
P. Domingues
Claudio S. Pinhanez
35
0
0
03 Jul 2024
What Have We Achieved on Non-autoregressive Translation?
What Have We Achieved on Non-autoregressive Translation?
Yafu Li
Huajian Zhang
Jianhao Yan
Yongjing Yin
Yue Zhang
33
1
0
21 May 2024
Is Robustness Transferable across Languages in Multilingual Neural
  Machine Translation?
Is Robustness Transferable across Languages in Multilingual Neural Machine Translation?
Leiyu Pan
Supryadi Supryadi
Deyi Xiong
AAML
21
0
0
31 Oct 2023
A Classification-Guided Approach for Adversarial Attacks against Neural
  Machine Translation
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAML
SILM
40
2
0
29 Aug 2023
Improving the Robustness of Summarization Models by Detecting and
  Removing Input Noise
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
Kundan Krishna
Yao-Min Zhao
Jie Jessie Ren
Balaji Lakshminarayanan
Jiaming Luo
Mohammad Saleh
Peter J. Liu
33
4
0
20 Dec 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
30
3
0
11 Oct 2022
MaxMatch-Dropout: Subword Regularization for WordPiece
MaxMatch-Dropout: Subword Regularization for WordPiece
Tatsuya Hiraoka
43
8
0
09 Sep 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An
  Overview
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
26
56
0
15 Jun 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
139
130
0
15 Dec 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
Doubly-Trained Adversarial Data Augmentation for Neural Machine
  Translation
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
Weiting Tan
Shuoyang Ding
Huda Khayrallah
Philipp Koehn
SILM
AAML
21
1
0
12 Oct 2021
Masked Adversarial Generation for Neural Machine Translation
Masked Adversarial Generation for Neural Machine Translation
Badr Youbi Idrissi
S. Clinchant
AAML
29
0
0
01 Sep 2021
Evaluating the Robustness of Neural Language Models to Input
  Perturbations
Evaluating the Robustness of Neural Language Models to Input Perturbations
M. Moradi
Matthias Samwald
AAML
48
95
0
27 Aug 2021
1