@inproceedings{ward-etal-2022-nlp,
title = "How {NLP} Can Strengthen Digital Game Based Language Learning Resources for Less Resourced Languages",
author = "Ward, Monica and
Xu, Liang and
Dhonnchadha, Elaine U{\'i}",
editor = "Madge, Chris",
booktitle = "Proceedings of the 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.games-1.5/",
pages = "40--48",
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."
}
Markdown (Informal)
[How NLP Can Strengthen Digital Game Based Language Learning Resources for Less Resourced Languages](https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.games-1.5/) (Ward et al., games 2022)
ACL