Towards a Resource Grammar for Runyankore and Rukiga
Other conference contribution, 2019

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).

computational grammar resources

Runyankore

Rukiga

Resource Grammars

Grammatical Framework

Author

David Bamutura

Chalmers, Computer Science and Engineering (Chalmers), Functional Programming

Peter Ljunglöf

Chalmers, Computer Science and Engineering (Chalmers), Functional Programming

Workshop on Widening NLP
Florence, Italy,

Areas of Advance

Information and Communication Technology

Driving Forces

Sustainable development

Subject Categories

Language Technology (Computational Linguistics)

General Language Studies and Linguistics

Specific Languages

More information

Created

6/4/2021 2