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

Authors

123

  1. LA
    Laurence Anthony

    Waseda University, Japan

    3 publications · 408 citations

    4

    h-index

  2. AB
    Alex Boulton

    Analyse et Traitement Informatique de la Langue Française, France

    4 publications · 743 citations

    4

    h-index

  3. HH
    Howard Hao-Jan Chen

    National Taiwan Normal University, Taiwan

    3 publications · 125 citations

    3

    h-index

  4. PC
    Peter Crosthwaite

    The University of Queensland, Australia

    3 publications · 212 citations

    3

    h-index

  5. FF
    Fiona Farr

    University of Limerick, Ireland

    2 publications · 150 citations

    2

    h-index

1–5 of 123

Venues

  1. Computer Assisted Language Learning

    8 publications · 539 citations

    8

    h-index

  2. ReCALL

    3 publications · 260 citations

    3

    h-index

  3. Annual Review of Applied Linguistics

    ARAL · 2 publications · 500 citations

    2

    h-index

  4. Language learning & technology

    LLT · 2 publications · 211 citations

    2

    h-index

  5. English Language Teaching

    2 publications · 38 citations

    2

    h-index

1–5