Interactive word sense disambiguation in foreign language learning
- Author
- Jasper Degraeuwe (UGent) and Patrick Goethals (UGent)
- Organization
- Project
- Abstract
- “Word sense awareness” is a feature which is not yet implemented in most corpus query tools, Intelligent Computer-Assisted Language Learning (ICALL) environments or computer-readable didactic resources such as graded word lists (Alfter and Graën, 2019; Pilán et al., 2016; Tack et al., 2018). The present paper aims to contribute to filling this lacuna by presenting a word sense disambiguation (WSD) method for ICALL purposes. The method, which is targeted at Spanish as a foreign language (SFL), takes a few prototypical example sentences as input, converts these sentences into “sense vectors”, and integrates part of the training data collection process into interactive vocabulary exercises. The evaluation of the method is based on a selection of 50 ambiguous items related to the domain of economics and compares different types of input data. With a top weighted F1 score of 0.8836, the present study shows that the currently available NLP tools, resources and methods provide all the necessary building blocks for developing a WSD method which can be integrated into interactive ICALL environments.
- Keywords
- word sense disambiguation, interactive vocabulary learning, Spanish as a foreign language, contextualised word embeddings, LT3
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GKF7CK54J080ZWAA8TZ6AYAS
- MLA
- Degraeuwe, Jasper, and Patrick Goethals. “Interactive Word Sense Disambiguation in Foreign Language Learning.” Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022), edited by David Alfter et al., vol. 190, Linköping University Electronic Press, 2022, pp. 46–54, doi:10.3384/ecp190005.
- APA
- Degraeuwe, J., & Goethals, P. (2022). Interactive word sense disambiguation in foreign language learning. In D. Alfter, E. Volodina, T. François, P. Desmet, F. Cornillie, A. Jönsson, & E. Rennes (Eds.), Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022) (Vol. 190, pp. 46–54). https://doi.org/10.3384/ecp190005
- Chicago author-date
- Degraeuwe, Jasper, and Patrick Goethals. 2022. “Interactive Word Sense Disambiguation in Foreign Language Learning.” In Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022), edited by David Alfter, Elena Volodina, Thomas François, Piet Desmet, Frederik Cornillie, Arne Jönsson, and Evelina Rennes, 190:46–54. Louvain-la-Neuve: Linköping University Electronic Press. https://doi.org/10.3384/ecp190005.
- Chicago author-date (all authors)
- Degraeuwe, Jasper, and Patrick Goethals. 2022. “Interactive Word Sense Disambiguation in Foreign Language Learning.” In Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022), ed by. David Alfter, Elena Volodina, Thomas François, Piet Desmet, Frederik Cornillie, Arne Jönsson, and Evelina Rennes, 190:46–54. Louvain-la-Neuve: Linköping University Electronic Press. doi:10.3384/ecp190005.
- Vancouver
- 1.Degraeuwe J, Goethals P. Interactive word sense disambiguation in foreign language learning. In: Alfter D, Volodina E, François T, Desmet P, Cornillie F, Jönsson A, et al., editors. Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022). Louvain-la-Neuve: Linköping University Electronic Press; 2022. p. 46–54.
- IEEE
- [1]J. Degraeuwe and P. Goethals, “Interactive word sense disambiguation in foreign language learning,” in Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022), Louvain-la-Neuve, Belgium, 2022, vol. 190, pp. 46–54.
@inproceedings{01GKF7CK54J080ZWAA8TZ6AYAS,
abstract = {{“Word sense awareness” is a feature which is not yet implemented in most corpus query tools, Intelligent Computer-Assisted Language Learning (ICALL) environments or computer-readable didactic resources such as graded word lists (Alfter and Graën, 2019; Pilán et al., 2016; Tack et al., 2018). The present paper aims to contribute to filling this lacuna by presenting a word sense disambiguation (WSD) method for ICALL purposes. The method, which is targeted at Spanish as a foreign language (SFL), takes a few prototypical example sentences as input, converts these sentences into “sense vectors”, and integrates part of the training data collection process into interactive vocabulary exercises. The evaluation of the method is based on a selection of 50 ambiguous items related to the domain of economics and compares different types of input data. With a top weighted F1 score of 0.8836, the present study shows that the currently available NLP tools, resources and methods provide all the necessary building blocks for developing a WSD method which can be integrated into interactive ICALL environments.}},
author = {{Degraeuwe, Jasper and Goethals, Patrick}},
booktitle = {{Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022)}},
editor = {{Alfter, David and Volodina, Elena and François, Thomas and Desmet, Piet and Cornillie, Frederik and Jönsson, Arne and Rennes, Evelina}},
isbn = {{9789179294601}},
issn = {{1650-3686}},
keywords = {{word sense disambiguation,interactive vocabulary learning,Spanish as a foreign language,contextualised word embeddings,LT3}},
language = {{eng}},
location = {{Louvain-la-Neuve, Belgium}},
pages = {{46--54}},
publisher = {{Linköping University Electronic Press}},
title = {{Interactive word sense disambiguation in foreign language learning}},
url = {{http://doi.org/10.3384/ecp190005}},
volume = {{190}},
year = {{2022}},
}
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