Abstract:
Theknowledge-driven economyuses technology,thereby increasingthe demand for language tools and resourcesto acquire and distribute the knowledge. Such tools and resources are scarcefor 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 usesa 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% and19.49%, respectively. Thiswork contributes by providing computational grammar for an under-resourced language, thus providing a platform foranalysis and synthesis, plus a machine translation within the GFecosystem.