ABSTRACT
The predominance of English language over Okun language in almost all human endeavour is
threatening the existence of Okun language and even Okun culture. It is therefore necessary to
employ modem day processing tools for the language to catch up with the technological growth
the world is experiencing.
This project work focuses on the design of a bidirectional English - Okun prepositional phrase
machine translation system using rule based approach. The system was designed using Python
Programming language and PyQtS was used for the design of the user interface while Py2exe was
used to compile the code into executable application. The system was evaluated using human
judgement based on orthography accuracy.
Results show that the average orthography accuracy score for the expert is hundred percent
(100%), experimental subject respondent score is about fifty eight percent (58%) and the score for
the developed machine translator is ninety three percent (93%).
In conclusion, it was observed that most indigenous people are not good at writing Okun language
and also find it hard to separate Okun dialects from the Yoruba language. Hence it is recommended
that schools in the western part of Kogi state incorporate this software into their academic system
to enable students learn more about the language, and the government should encourage researchers in the field of computational linguistics by funding researches.
FEMI, T (2021). Design Of An English - Okun Prepositional Phrase Machine Translation System Using Rule Based Approach. Afribary. Retrieved from https://track.afribary.com/works/design-of-an-english-okun-prepositional-phrase-machine-translation-system-using-rule-based-approach
FEMI, TOLORUNTOMI "Design Of An English - Okun Prepositional Phrase Machine Translation System Using Rule Based Approach" Afribary. Afribary, 20 May. 2021, https://track.afribary.com/works/design-of-an-english-okun-prepositional-phrase-machine-translation-system-using-rule-based-approach. Accessed 27 Nov. 2024.
FEMI, TOLORUNTOMI . "Design Of An English - Okun Prepositional Phrase Machine Translation System Using Rule Based Approach". Afribary, Afribary, 20 May. 2021. Web. 27 Nov. 2024. < https://track.afribary.com/works/design-of-an-english-okun-prepositional-phrase-machine-translation-system-using-rule-based-approach >.
FEMI, TOLORUNTOMI . "Design Of An English - Okun Prepositional Phrase Machine Translation System Using Rule Based Approach" Afribary (2021). Accessed November 27, 2024. https://track.afribary.com/works/design-of-an-english-okun-prepositional-phrase-machine-translation-system-using-rule-based-approach