Grammar Engineering for the Ekegusii Language in Grammatical Framework

Benson Kituku, Wanjiku Nganga and Lawrence Muchemi

European Journal of Engineering and Technology Research, 2021, vol. 6, issue 3, 20-29

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 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:6:y:2021:i:3:id:62382

DOI: 10.24018/ejeng.2021.6.3.2382

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