Building a Language-Learning Game for Brazilian Indigenous Languages: A Case of Study
–arXiv.org Artificial Intelligence
We discuss in detail the challenges of building a Language learning games are key tools to vitalize language learning tool for BIL, such as the lack of endangered languages (Thomason, 2015; Xu et al., written and phonetical resources, ethical concerns 2022; Neubig et al., 2020). LARA (Akhlaghi et al., on available treebanks and databases used for exercise 2019), a multi language learning assistant, is an generation, and provide some suggestions example that has been key to support actions related on steps forward. We managed to build a minimal to endangered languages protection (Rayner proof of concept course for Guajajara language divided and Wilmoth, 2023; Bédi et al., 2022; Zuckermann in two sections. We employed dependency et al., 2021). Despite the necessity of language treebanks and a lexical database on BIL as source learning tools to vitalize endangered languages, for exercise generation. The main contribution of they are typically restricted to high-resource languages, this work is to present a case of study on building a such as english, and require significant language learning tool for BIL and, we hope, it will effort to be extended to languages with few spoken serve as an starting point for the development of and written resources.
arXiv.org Artificial Intelligence
Mar-21-2024
- Country:
- Asia > Middle East
- Jordan (0.04)
- Europe
- France > Provence-Alpes-Côte d'Azur
- Bouches-du-Rhône > Marseille (0.04)
- Ireland (0.04)
- Spain > Aragón (0.05)
- Sweden > Vaestra Goetaland
- Gothenburg (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Oxfordshire > Oxford (0.04)
- France > Provence-Alpes-Côte d'Azur
- North America > United States
- Hawaii > Honolulu County > Honolulu (0.04)
- South America > Brazil
- São Paulo (0.04)
- Asia > Middle East
- Genre:
- Research Report (0.50)
- Industry:
- Education > Curriculum > Subject-Specific Education (1.00)
- Technology: