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2105.15087
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Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation
31 May 2021
Eleftheria Briakou
Marine Carpuat
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Papers citing
"Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation"
8 / 8 papers shown
Title
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
Yan Meng
Di Wu
Christof Monz
101
1
0
02 Jul 2024
Cultural Adaptation of Recipes
Yong Cao
Yova Kementchedjhieva
Ruixiang Cui
Antonia Karamolegkou
Li Zhou
Megan Dare
Lucia Donatelli
Daniel Hershcovich
95
6
0
26 Oct 2023
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection
Weijia Xu
Sweta Agrawal
Eleftheria Briakou
Marianna J. Martindale
Marine Carpuat
HILM
78
49
0
18 Jan 2023
Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation
Shira Wein
Zhuxin Wang
Nathan Schneider
63
3
0
06 Oct 2022
Challenges and Strategies in Cross-Cultural NLP
Daniel Hershcovich
Stella Frank
Heather Lent
Miryam de Lhoneux
Mostafa Abdou
...
Ruixiang Cui
Constanza Fierro
Katerina Margatina
Phillip Rust
Anders Søgaard
130
182
0
18 Mar 2022
Can Synthetic Translations Improve Bitext Quality?
Eleftheria Briakou
Marine Carpuat
60
5
0
15 Mar 2022
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
337
2,492
0
08 Feb 2022
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation
Eleftheria Briakou
Sida Wang
Luke Zettlemoyer
Marjan Ghazvininejad
43
5
0
12 Nov 2021
1