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mT5: A Massively Multilingual Pre-trained Text-to-Text Tr... | ResearchHub
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mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
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Authors
Linting Xue
7 more
Linting Xue
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Noah Constant
5 more
•
Colin Raffel
Published
January 1, 2021
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Journal
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topics
Computer Science
Artificial Intelligence
Engineering
Natural Language Processing
General Social Sciences
Show all topics
DOI
10.18653/v1/2021.naacl-main.41
License
CC-BY
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topics
Computer Science
Artificial Intelligence
Engineering
Natural Language Processing
General Social Sciences
Show all topics
DOI
10.18653/v1/2021.naacl-main.41
License
CC-BY
Other Formats
PDF