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How to Split: the Effect of Word Segmentation on Gender Bias in Speech
  Translation

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

28 May 2021
Marco Gaido
Beatrice Savoldi
L. Bentivogli
Matteo Negri
Marco Turchi
ArXivPDFHTML

Papers citing "How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation"

3 / 3 papers shown
Title
Between words and characters: A Brief History of Open-Vocabulary
  Modeling and Tokenization in NLP
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
Sabrina J. Mielke
Zaid Alyafeai
Elizabeth Salesky
Colin Raffel
Manan Dey
...
Arun Raja
Chenglei Si
Wilson Y. Lee
Benoît Sagot
Samson Tan
30
140
0
20 Dec 2021
Don't speak too fast: The impact of data bias on self-supervised speech
  models
Don't speak too fast: The impact of data bias on self-supervised speech models
Yen Meng
Yi-Hui Chou
Andy T. Liu
Hung-yi Lee
34
24
0
15 Oct 2021
Tied Multitask Learning for Neural Speech Translation
Tied Multitask Learning for Neural Speech Translation
Antonios Anastasopoulos
David Chiang
93
171
0
19 Feb 2018
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