Adding word sense awareness to computer-assisted language learning methods: a tailor-made word sense disambiguation method for Spanish as a foreign language

• Degraeuwe, Jasper ^[1] ; Goethals, Patrick ^[1] ; Tezcan, Arda ^[1]
  1. [1] Ghent University

     Ghent University

     Arrondissement Gent, Bélgica

     
• Localización: Revista de lingüística y lenguas aplicadas, ISSN 1886-2438, Nº. 20, 2025, págs. 1-16
• Idioma: inglés
• DOI: 10.4995/rlyla.2025.20780
• Enlaces
  • Texto completo
• Resumen

  • Word sense awareness is a feature which has not yet been implemented in most Computer-Assisted Language Learning (CALL) environments or in computer-readable resources for pedagogical purposes such as graded word lists. The current study aims to contribute to filling this gap by presenting a word sense disambiguation (WSD) method1 which relies on a tailor-made sense inventory, exploits readily available large language models, and only requires a limited number of prototypical examples sentences as manually curated data.  The methodology is evaluated on a set of 74 lexically ambiguous items, with a Spanish language for specific purposes course as the target setting. With weighted F1 scores up to 0.8995, the WSD method shows potential to be applied in real-life CALL scenarios.

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