Cross-linguistic Adaptation
Cross-Linguistic Adaptation is a methodological framework in computational linguistics that enables the transfer and adaptation of linguistic knowledge, models, or resources from one language to another to improve performance in low-resource languages.
90
Publications
3.6K
Citations
326
Authors
131
Institutions
Publications per year
2017–2026
35
Parents
90
1–5 of 90
326
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Hong Kong University of Science and Technology, Hong Kong SAR China
2 publications · 33 citations
2
h-index
1–5 of 326
131

Johns Hopkins University
Baltimore, United States
5 h-index
8 publications
583 citations
University of Washington
Seattle, United States
4 h-index
5 publications
93 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
7 publications
274 citations

Peking University
Beijing, China
4 h-index
8 publications
264 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
3 h-index
5 publications
211 citations
Peking University People's Hospital
Beijing, China
3 h-index
7 publications
251 citations
Google (United States)
Mountain View, United States
3 h-index
8 publications
371 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
28 citations
1–8 of 131
Repository · 4 publications · 195 citations
4
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4 publications · 71 citations
4
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Repository · 3 publications · 61 citations
3
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Repository · 2 publications · 87 citations
2
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AIAN · 2 publications · 45 citations
2
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