Ward, Monica
ORCID: 0000-0001-7327-1395, Xu, Liang
ORCID: 0000-0002-2619-1883 and Uí Dhonnchadha, Elaine
ORCID: 0000-0003-3448-4288
(2022)
How NLP Can Strengthen Digital Game Based Language Learning Resources for Less Resourced Languages.
In: 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference, 25 June 2022, Marseille, France.
Abstract
This paper provides an overview of the Cipher engine which enables the development of a Digital Educational Game (DEG) based on noticing ciphers or patterns in texts. The Cipher engine was used to develop the Cipher: Faoi Gheasa, a digital educational game for Irish, which incorporates NLP resources and is informed by Digital Game-Based Language Learning (DGBLL) and Computer-Assisted Language Learning (CALL) research. The paper outlines six phases where NLP has strengthened the Cipher: Faoi Gheasa game. It shows how the Cipher engine can be used to build a Cipher game for other languages, particularly low-resourced and endangered languages in which NLP resources are under-developed or few in number.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Workshop |
| Refereed: | Yes |
| Uncontrolled Keywords: | Digital educational game, digital game-based language learning, low-resourced language, computer-assisted language learning |
| Subjects: | Computer Science > Computational linguistics Computer Science > Interactive computer systems Humanities > Irish language Humanities > Language Social Sciences > Educational technology |
| DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres Research Institutes and Centres > ADAPT Research Institutes and Centres > d-real |
| Published in: | Proceedings of the 9th Games and Natural Language Processing Workshop, LREC2022. . European Language Resources Association. |
| Publisher: | European Language Resources Association |
| Official URL: | https://aclanthology.org/2022.games-1.5.pdf |
| Funders: | Science Foundation Ireland |
| ID Code: | 31997 |
| Deposited On: | 11 Dec 2025 13:53 by Liang Xu . Last Modified 11 Dec 2025 13:53 |
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