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How sensitive are translation systems to extra contexts? Mitigating
  gender bias in Neural Machine Translation models through relevant contexts

How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts

22 May 2022
Shanya Sharma
Manan Dey
Koustuv Sinha
ArXivPDFHTML

Papers citing "How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts"

4 / 4 papers shown
Title
The paradox of the compositionality of natural language: a neural
  machine translation case study
The paradox of the compositionality of natural language: a neural machine translation case study
Verna Dankers
Elia Bruni
Dieuwke Hupkes
CoGe
152
75
0
12 Aug 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
202
121
0
23 Jan 2021
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Zi-Yi Dou
Graham Neubig
90
255
0
20 Jan 2021
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
182
1,638
0
16 Mar 2020
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