Lexical Item Generation

Lexical Item Generation is a computational linguistic method that systematically produces individual lexical units, such as words or multi-word expressions, distinguished by its focus on creating lexically novel or contextually appropriate items for use in natural language processing tasks.

41

Publications

2.7K

Citations

95

Authors

52

Institutions

Publications per year

2017–2026

9

Authors

95

  1. SN
    Sergei Nirenburg

    New Mexico State University, United States

    2 publications · 59 citations

    2

    h-index

  2. WJ
    Willem J. M. Levelt

    Max Planck Institute for Psycholinguistics, Netherlands

    1 publications · 512 citations

    1

    h-index

  3. YN
    Yoed N. Kenett

    Technion – Israel Institute of Technology, Israel

    1 publications · 50 citations

    1

    h-index

  4. NZ
    Nina Zeuch

    University of Münster, Germany

    1 publications · 40 citations

    1

    h-index

  5. SK
    Susanne Knake

    Philipps University of Marburg, Germany

    1 publications · 39 citations

    1

    h-index

1–5 of 95

Venues

  1. Journal of Memory and Language

    2 publications · 62 citations

    2

    h-index

  2. International Journal of Assessment Tools in Education

    IJATE · 1 publications · 30 citations

    1

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 512 citations

    1

    h-index

  4. Applied Linguistics

    1 publications · 104 citations

    1

    h-index

  5. Studies In Educational Evaluation

    1 publications · 40 citations

    1

    h-index

1–5