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 |