Corpus Encoding

Corpus Encoding is the systematic process of applying consistent structural, linguistic, and metadata annotations to a collection of texts within a corpus to enable computational analysis, distinguished by its focus on representing the corpus as a unified, machine-readable resource for specific research objectives.

80

Publications

3.3K

Citations

248

Authors

114

Institutions

Publications per year

2017–2026

24

Authors

248

  1. NI
    Nancy Ide

    Vassar College, United States

    4 publications · 244 citations

    4

    h-index

  2. LR
    Laurent Romary

    The Dialogue, United States

    4 publications · 221 citations

    4

    h-index

  3. EH
    Erhard Hinrichs

    University of Tübingen, Germany

    3 publications · 71 citations

    3

    h-index

  4. AH
    Andrew Hardie

    Lancaster University, United Kingdom

    3 publications · 373 citations

    3

    h-index

  5. MS
    Manish Shrivastava

    International Institute of Information Technology, Hyderabad, India

    2 publications · 60 citations

    2

    h-index

1–5 of 248

Venues

  1. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 3 publications · 54 citations

    3

    h-index

  2. ICAME journal

    2 publications · 96 citations

    2

    h-index

  3. 2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 57 citations

    2

    h-index

  5. IOP Conference Series Materials Science and Engineering

    Conference · 1 publications · 11 citations

    1

    h-index

1–5