Corpus-based Language Learning Tools
Corpus-Based Language Learning Tools is a methodological framework in artificial intelligence for language learning that leverages systematically collected and annotated linguistic corpora to derive data-driven insights, distinguishable from rule-based or intuition-driven approaches by its empirical reliance on authentic language usage patterns.
80
Publications
4.5K
Citations
123
Authors
69
Institutions
Publications per year
2017–2026
26
80
Corpus Use in Language Learning: A Meta‐Analysis
Alex Boulton, Tom Cobb · Language Learning · 2017 · 551 citations · Full text
1–5 of 80
123
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Analyse et Traitement Informatique de la Langue Française, France
4 publications · 743 citations
4
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3
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3
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2
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1–5 of 123
69
Education University of Hong Kong
Tai Po, Hong Kong
3 h-index
5 publications
354 citations
National Taiwan Normal University
Taipei, Taiwan
3 h-index
5 publications
151 citations

The University of Queensland
Brisbane, Australia
3 h-index
4 publications
281 citations

University of Limerick
Limerick, Ireland
2 h-index
5 publications
316 citations

Masaryk University
Brno, Czechia
2 h-index
2 publications
57 citations
Analyse et Traitement Informatique de la Langue Française
Nancy, France
2 h-index
2 publications
169 citations
University of Kansas
Lawrence, United States
2 h-index
2 publications
220 citations
Lancaster University
Lancaster, United Kingdom
2 h-index
2 publications
38 citations
1–8 of 69
8 publications · 539 citations
8
h-index
3 publications · 260 citations
3
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ARAL · 2 publications · 500 citations
2
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LLT · 2 publications · 211 citations
2
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2 publications · 38 citations
2
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