Grammar Engineering for the Ekegusii Language in Grammatical Framework

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dc.contributor.author Kituku, Benson
dc.contributor.author Wanjiku Nganga
dc.contributor.author Lawrence Muchemi
dc.date.accessioned 2021-05-26T13:14:23Z
dc.date.available 2021-05-26T13:14:23Z
dc.date.issued 2021-03
dc.identifier.issn 2056-5860
dc.identifier.uri http://dx.doi.org/10.24018/ejers.2021.6.3.2382
dc.identifier.uri http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/4753
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher EJERS, European Journal of Engineering and Technology Research en_US
dc.title Grammar Engineering for the Ekegusii Language in Grammatical Framework en_US
dc.type Article en_US


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