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The Unbearable Lightness of Morph Classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475742" target="_blank" >RIV/00216208:11320/23:10475742 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-40498-6_10" target="_blank" >https://doi.org/10.1007/978-3-031-40498-6_10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-40498-6_10" target="_blank" >10.1007/978-3-031-40498-6_10</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Unbearable Lightness of Morph Classification

  • Original language description

    In light of the recent push for the creation and unification of large morphologically annotated resources, there is a call for (preferably language-independent, low-resource) methods of morph classification. This paper reports on a pilot experiment on morph classification of the Czech language. We have performed two experiments - root morph recognition and complete morph classification. By exploiting simple quantitative methods and - in some cases - available Czech morphological resources, we have achieved morph-level precision of respectively 96.7% and 88.3%.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes in Artificial Intelligence

  • ISBN

    978-3-031-40497-9

  • ISSN

  • e-ISSN

    1611-3349

  • Number of pages

    11

  • Pages from-to

    105-115

  • Publisher name

    Springer

  • Place of publication

    Cham, Switzerland

  • Event location

    Plzeň, Czechia

  • Event date

    Sep 4, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article