Antconc-based Learning

AntConc-Based Learning is a corpus analysis methodology that utilizes the AntConc software toolkit to systematically identify, extract, and interpret linguistic patterns from textual data through frequency-based, concordance-driven, and collocational techniques.

4

Publications

446

Citations

3

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

3

  1. LA
    Laurence Anthony

    Waseda University, Japan

    3 publications · 424 citations

    3

    h-index

  2. TT
    Thi Thuy Loan Nguyen

    Kalasin University, Thailand

    1 publications · 22 citations

    1

    h-index

  3. IP
    Issra Pramoolsook

    Suranaree University of Technology, Thailand

    1 publications · 22 citations

    1

    h-index

  4. KU
    Kristīne Užule

    EKA University of Applied Sciences, Latvia

    1 publications · 11 citations

    0

    h-index

  5. KC
    Kiyomi Chujo

    Nihon University, Japan

    1 publications · 10 citations

    0

    h-index

1–5 of 3

Venues

  1. 1

    h-index

  2. GEMA Online Journal of Language Studies

    1 publications · 22 citations

    1

    h-index

  3. Business Management and Education

    1 publications · 11 citations

  4. Lancaster EPrints (Lancaster University)

    Repository · 1 publications · 10 citations

1–4