Corpus-based Word Learning
Corpus-Based Word Learning is a word learning strategy that involves the systematic analysis of authentic linguistic data from corpora to inferlexical knowledge, distinguished by its reliance on empirically observed language use patterns rather than controlled or elicited data.
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Publications
4.1K
Citations
153
Authors
89
Institutions
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2017–2026
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Rutgers, The State University of New Jersey, United States
3 publications · 554 citations
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University of Leeds
Leeds, United Kingdom
4 h-index
6 publications
295 citations
Stanford University
Stanford, United States
3 h-index
3 publications
82 citations
National Research Council Canada
Ottawa, Canada
3 h-index
3 publications
554 citations
Education University of Hong Kong
Tai Po, Hong Kong
2 h-index
4 publications
152 citations

Coventry University
Coventry, United Kingdom
2 h-index
2 publications
39 citations

Shizuoka University
Shizuoka, Japan
2 h-index
2 publications
77 citations
University of Utah
Salt Lake City, United States
2 h-index
3 publications
127 citations

National Institute of Informatics
Tokyo, Japan
2 h-index
2 publications
77 citations
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3 publications · 100 citations
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3 publications · 204 citations
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3 publications · 366 citations
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Repository · 2 publications · 376 citations
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2 publications · 60 citations
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