Towards a Resource Grammar for Runyankore and Rukiga
Abstract
Currently, there is a lack of computational grammar resources for many under-resourced languages which limits the ability to develop Natural Language Processing (NLP) tools and applications such as Multilingual Document Authoring, Computer-Assisted Language Learning (CALL) and Low-Coverage Machine Translation (MT) for these languages. In this paper, we present our attempt to formalise the grammar of two such languages: Runyankore and Rukiga. For this formalisation we use the Grammatical Framework (GF) and its Resource Grammar Library (GF-RGL).- Anthology ID:
- W19-3602
- Volume:
- Proceedings of the 2019 Workshop on Widening NLP
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- WiNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2–6
- Language:
- URL:
- https://aclanthology.org/W19-3602
- DOI:
- Cite (ACL):
- David Bamutura and Peter Ljunglöf. 2019. Towards a Resource Grammar for Runyankore and Rukiga. In Proceedings of the 2019 Workshop on Widening NLP, pages 2–6, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Towards a Resource Grammar for Runyankore and Rukiga (Bamutura & Ljunglöf, WiNLP 2019)