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Multilingual Base Word Recognition in Derivation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511592" target="_blank" >RIV/00216208:11320/25:10511592 - isvavai.cz</a>

  • Result on the web

    <a href="https://events.unifr.ch/derimo2025/en/assets/public/files/derimo_2025_proceedings.pdf" target="_blank" >https://events.unifr.ch/derimo2025/en/assets/public/files/derimo_2025_proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multilingual Base Word Recognition in Derivation

  • Original language description

    Given the scarcity of reliable derivational resources and the time- and work-consuming nature of their manual creation, reliable automatic recognition of base words is an important task. We have conducted to our knowledge the most extensive multilingual experiment on the task, using 28 datasets from the Universal Derivations project for a total of 20 languages. Our neural networks (mostly using the Transformer architecture) have achieved state-of-the-art results in both base word generation and base word recognition.

  • 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

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of Fifth International Workshop on Resources and Tools for Derivational Morphology

  • ISBN

    978-2-8399-4786-2

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    27-36

  • Publisher name

    University of Fribourg

  • Place of publication

    Fribourg, Switzerland

  • Event location

    Fribourg, Switzerland

  • Event date

    Sep 4, 2025

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article