How NLP Can Strengthen Digital Game Based Language Learning Resources for Less Resourced Languages

Monica Ward, Liang Xu, Elaine Uí Dhonnchadha


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.
Anthology ID:
2022.games-1.5
Volume:
Proceedings of the 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Venue:
games
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
40–48
Language:
URL:
https://aclanthology.org/2022.games-1.5
DOI:
Bibkey:
Cite (ACL):
Monica Ward, Liang Xu, and Elaine Uí Dhonnchadha. 2022. How NLP Can Strengthen Digital Game Based Language Learning Resources for Less Resourced Languages. In Proceedings of the 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference, pages 40–48, Marseille, France. European Language Resources Association.
Cite (Informal):
How NLP Can Strengthen Digital Game Based Language Learning Resources for Less Resourced Languages (Ward et al., games 2022)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2022.games-1.5.pdf