Cross-lingual Transfer
Cross-Lingual Transfer is a machine translation paradigm in which knowledge acquired during training on a source language is systematically leveraged to improve performance in a target language, thereby enabling the effective adaptation of linguistic representations across different languages through transfer learning mechanisms.
953
Publications
56K
Citations
2.5K
Authors
565
Institutions
Publications per year
2017–2026
682
953
Verbs semantics and lexical selection
Zhibiao Wu, Martha Palmer · 1994 · 3.1K citations · Full text
Cross-lingual Language Model Pretraining
Guillaume Lample, Alexis Conneau · arXiv (Cornell University) · 2019 · 1.6K citations · Full text
How Multilingual is Multilingual BERT?
Telmo Pires, Eva Schlinger, Dan Garrette · 2019 · 1.2K citations · Full text
Language Studies, Linguistics, Computational Linguistics +16
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565
Carnegie Mellon University
Pittsburgh, United States
24 h-index
128 publications
8.1K citations
Google (United States)
Mountain View, United States
22 h-index
100 publications
33K citations
Microsoft Research Asia (China)
Beijing, China
21 h-index
93 publications
6.1K citations
University of Cambridge
Cambridge, United Kingdom
20 h-index
65 publications
5.5K citations

Johns Hopkins University
Baltimore, United States
17 h-index
65 publications
4.2K citations
Microsoft (United States)
Redmond, United States
16 h-index
73 publications
10.4K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
15 h-index
62 publications
3K citations
Tsinghua University
Beijing, China
15 h-index
48 publications
2.8K citations
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Repository · 147 publications · 8.8K citations
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Conference · 33 publications · 2.1K citations
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Conference · 18 publications · 1K citations
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Conference · 20 publications · 697 citations
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TASLP · 11 publications · 256 citations
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