Design and Implementation of English to Yorùbá Verb Phrase Machine Translation System

DOI: https://doi.org/10.69798/k4806493

Authors

Safiriyu Eludiora

seludiora@yahoo.com

Department of Computer Science and Engineering
Obafemi Awolowo University, Ile Ife
Benjamin Ayoade
Department of Computer Science and Engineering
Obafemi Awolowo University, Ile Ife

Abstract


The Yorùbá ethnic group has diverse language speakers across the world, and translating the language to other widely spoken languages must be emphasized. This study aims to develop an English to Yorùbá machine translation system which can translate the English verb phrase text to its Yorùbá equivalent. Words from both languages (Source Language and Target Language) were collected for the verb phrase group in the home domain. Lexical translation was done by assigning values of the matching word in the dictionary. The syntax of the two languages was realized using Context Free Grammar, the rewrite rules were validated with finite state automata. Human evaluation method was used and expert opinion scored. The evaluation shows the system performed better than that of sampled Google translation with over 70% of the responses matching that of the system’s output.


Suggested citation


Safiriyu Eludiora , Benjamin Ayoade (2024). Design and Implementation of English to Yorùbá Verb Phrase Machine Translation System Koozakar Festscrift, 1(1). https://doi.org/10.69798/k4806493


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  • Issue

    Vol. 1 No. 1 (2024): Koozakar Festscrift

  • Published

    03-06-24

  • Keywords

    Machine translation Low resource NLP Rule-based CFG Automata