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Grammar Engineering for the Ekegusii Language in Grammatical Framework

Author

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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.

Suggested Citation

  • Benson Kituku & Wanjiku Nganga & Lawrence Muchemi, 2021. "Grammar Engineering for the Ekegusii Language in Grammatical Framework," European Journal of Engineering and Technology Research, European Open Science, vol. 6(3), pages 20-29, March.
    • Handle: RePEc:epw:ejeng0:v:6:y:2021:i:3:id:62382
    DOI: 10.24018/ejeng.2021.6.3.2382
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    References listed on IDEAS

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    1. Bogdan Ghilic-Micu & Marinela Mircea & Marian Stoica, 2011. "Knowledge based economy –technological perspective: implications and solutions for agility improvement and innovation achievement in higher education," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 13(30), pages 404-419, June.
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