@inproceedings{bamutura-etal-2020-towards,
    title = "Towards Computational Resource Grammars for {R}unyankore and Rukiga",
    author = {Bamutura, David  and
      Ljungl{\"o}f, Peter  and
      Nebende, Peter},
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.lrec-1.347/",
    pages = "2846--2854",
    language = "eng",
    ISBN = "979-10-95546-34-4",
    abstract = "In this paper, we present computational resource grammars of Runyankore and Rukiga (R{\&}R) languages. Runyankore and Rukiga are two under-resourced Bantu Languages spoken by about 6 million people indigenous to South- Western Uganda, East Africa. We used Grammatical Framework (GF), a multilingual grammar formalism and a special- purpose functional programming language to formalise the descriptive grammar of these languages. To the best of our knowledge, these computational resource grammars are the first attempt to the creation of language resources for R{\&}R. In Future Work, we plan to use these grammars to bootstrap the generation of other linguistic resources such as multilingual corpora that make use of data-driven approaches to natural language processing feasible. In the meantime, they can be used to build Computer-Assisted Language Learning (CALL) applications for these languages among others."
}Markdown (Informal)
[Towards Computational Resource Grammars for Runyankore and Rukiga](https://preview.aclanthology.org/ingest-emnlp/2020.lrec-1.347/) (Bamutura et al., LREC 2020)
ACL