Adding word sense awareness to computer-assisted language learning methods: a tailor-made word sense disambiguation method for Spanish as a foreign language
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 sen...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitat Politècnica de València
2025-07-01
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| Series: | Revista de Lingüística y Lenguas Aplicadas |
| Subjects: | |
| Online Access: | https://polipapers.upv.es/index.php/rdlyla/article/view/20780 |
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| Summary: | 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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| ISSN: | 1886-2438 1886-6298 |