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Representing Compounding with OntoLex. An Evaluation of Vocabularies for Word Formation Resources

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AVJ7RKKC4" target="_blank" >RIV/00216208:11320/25:VJ7RKKC4 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195940560&partnerID=40&md5=901f40c842fabc35c4abd46ebf7c8605" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195940560&partnerID=40&md5=901f40c842fabc35c4abd46ebf7c8605</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Representing Compounding with OntoLex. An Evaluation of Vocabularies for Word Formation Resources

  • Original language description

    This paper explores how compounds are represented in resources documenting word formation, and proposes ways to convert them into Linked Open Data using the OntoLex model. The ultimate purpose is to offer a broad empirical evaluation of which of the two OntoLex modules allowing for the representation of compounds - Decomp and Morph - fits best the different formats and theoretical approaches of the resources we examine. We show that the vocabulary of Decomp alone is rarely sufficient to account for all relevant facts; in almost all cases, it is necessary to resort to the vocabulary of Morph, either to reify the relation between compounds and their constituents or to represent specifically morphological information or other aspects. Special attention is devoted to the format of the Universal Derivations project: the modelling strategy that we propose can be applied to all resources harmonized in that format, potentially allowing for the conversion into Linked Open Data of a large amount of structured data. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

  • 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

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Jt. Int. Conf. Comput. Linguist., Lang. Resour. Eval., LREC-COLING - Main Conf. Proc.

  • ISBN

    978-249381410-4

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    13958-13969

  • Publisher name

    European Language Resources Association (ELRA)

  • Place of publication

  • Event location

    Torino, Italia

  • Event date

    Jan 1, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article