Grammar Engineering for the Ekegusii Language in Grammatical Framework

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  •   Benson Kituku

  •   Wanjiku Nganga

  •   Lawrence Muchemi

Abstract

The knowledge-driven economy uses technology, thereby increasing the demand for language tools and resources to acquire and distribute the knowledge. Such tools and resources are scarce for the under resourced, spoken Bantu languages. This paper develops a computational grammar for the Ekegusii language in the Grammatical Framework (GF) to bridge the gap. The grammar development uses a bottom-up and modular-driven approach. A machine translation experiment was set up to evaluate the grammar resulting in BLEU and PER of 55.95% and 19.49%, respectively. This work contributes by providing computational grammar for an under-resourced language, thus providing a platform for analysis and synthesis, plus a machine translation within the GF ecosystem.


Keywords: Ekegusii, Grammar Engineering, grammar, Grammatical Framework, Under resourced language

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How to Cite
[1]
Kituku, B., Nganga, W. and Muchemi, L. 2021. Grammar Engineering for the Ekegusii Language in Grammatical Framework. European Journal of Engineering and Technology Research. 6, 3 (Mar. 2021), 20–29. DOI:https://doi.org/10.24018/ejeng.2021.6.3.2382.