Machine Translation and Yorùbá: Matters Arising

dc.contributor.authorEleshin, A.
dc.date.accessioned2021-10-04T07:27:26Z
dc.date.available2021-10-04T07:27:26Z
dc.date.issued2020
dc.descriptionScholarly articlesen_US
dc.description.abstractThe art of translation as an academic discipline was developed over a couple of centuries ago. The relationship between two or more societies and cultures has necessitated the essence of translation. In the mid-twentieth century,machine translation, which is a section of computer-aided translation,was introduced as a form of artificial intelligence in translation studies for the alignment of the source text and target text pairs (Munday,2001).In order to ease the means and methods of translation in the global world and to meet up with the requirement of artificial intelligence, the use of machine translation was validated.This study analyses the form and methods of machine translation with Yorùbá as either the source text or the target text.It has been realized that various inadequacies and inconsistencies exist in the process of translating text to/from Yorùbá.In this study, I have identified three major factors responsible for the inadequacies,namely: (1) linguistic/sociolinguistic; (2)stylistic;and (3) sociocultural. The communicative competence model of language analysis is employed to see if the linguistic approach is capable of proffering solutions to the problems identified above. It is believed that this approach will help validate the process of translating the Yorùbá language appropriately in an automated circumstance.en_US
dc.identifier.issn2630-6891
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/9590
dc.language.isoenen_US
dc.publisherUniversity of Lagos Press and Bookshop Limiteden_US
dc.relation.ispartofseriesUnilag Journal of Humanities Vol 8. No 2 (2020);
dc.subjectResearch Subject Categories::HUMANITIES and RELIGIONen_US
dc.subjectSocieties & Cultureen_US
dc.subjectAcademic disciplineen_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine translationen_US
dc.subjectLinguisticsen_US
dc.titleMachine Translation and Yorùbá: Matters Arisingen_US
dc.typeArticleen_US
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