Morpheme Boundary Detection

Morpheme Boundary Detection is the computational linguistic task of identifying the precise locations where morphemes—minimal meaningful units—occur within words, distinguishing it from related analyses by focusing specifically on the segmentation of word forms into their constituent morphemic units without necessarily assigning grammatical or semantic labels.

33

Publications

2K

Citations

72

Authors

46

Institutions

Publications per year

2017–2026

3

Authors

72

  1. MK
    Mikko Kurimo

    Aalto University, Finland

    3 publications · 102 citations

    3

    h-index

  2. SV
    Sámi Virpioja

    Aalto University, Finland

    3 publications · 92 citations

    3

    h-index

  3. TR
    Teemu Ruokolainen

    Aalto University, Finland

    2 publications · 82 citations

    2

    h-index

  4. RH
    R. Harald Baayen

    University of Tübingen, Germany

    2 publications · 201 citations

    2

    h-index

  5. MH
    Matthew H. Davis

    MRC Cognition and Brain Sciences Unit, United Kingdom

    2 publications · 723 citations

    2

    h-index

1–5 of 72

Venues

  1. Language and Cognitive Processes

    2 publications · 213 citations

    2

    h-index

  2. Journal of the American Society for Information Science

    JASIS · 1 publications · 53 citations

    1

    h-index

  3. Behavior Research Methods

    BRM · 1 publications · 19 citations

    1

    h-index

  4. Scientific Studies of Reading

    SSR · 1 publications · 20 citations

    1

    h-index

  5. Quarterly Journal of Experimental Psychology

    QJEP · 1 publications · 28 citations

    1

    h-index

1–5