Multilingual Text Generation
Multilingual Text Generation is a subfield of natural language generation that specifically focuses on the automated production of coherent and contextually appropriate text across multiple languages, distinguishing it from monolingual text generation by its intrinsic requirement to handle linguistic diversity and cross-lingual semantic alignment.
192
Publications
10K
Citations
733
Authors
230
Institutions
Publications per year
2017–2026
87
192
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
Linting Xue, Noah Constant, Adam P. Roberts et al. · 2021 · 1.6K citations · Full text
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam P. Roberts et al. · arXiv (Cornell University) · 2020 · 601 citations · Full text
Massively Multilingual Neural Machine Translation
Roee Aharoni, Melvin Johnson · 2019 · 415 citations · Full text
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230
Google (United States)
Mountain View, United States
9 h-index
37 publications
14.8K citations

University of Edinburgh
Edinburgh, United Kingdom
8 h-index
11 publications
513 citations
University of Brighton
Brighton, United Kingdom
8 h-index
22 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
30 publications
1.5K citations

Universitat Pompeu Fabra
Barcelona, Spain
5 h-index
10 publications
505 citations
Microsoft (United States)
Redmond, United States
5 h-index
9 publications
369 citations
University of Maryland, College Park
College Park, United States
5 h-index
10 publications
228 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
4 h-index
10 publications
266 citations
1–8 of 230
Repository · 23 publications · 1.3K citations
16
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6 publications · 136 citations
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Conference · 2 publications · 46 citations
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3 publications · 53 citations
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3 publications · 238 citations
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