Development of a recurrent neural network model for english to yoruba machine translation

被引：0

作者：

Esan A. ^{[1
]}

Oladosu J. ^{[2
]}

Oyeleye C. ^{[2
]}

Adeyanju I. ^{[1
]}

Olaniyan O. ^{[1
]}

Okomba N. ^{[1
]}

Omodunbi B. ^{[1
]}

Adanigbo O. ^{[1
]}

机构：

[1] Department of Computer Engineering, Federal University Oye-Ekiti, Ekiti state

[2] Ladoke Akintola University of Technology, Ogbomoso

来源：

International Journal of Advanced Computer Science and Applications | 2020年 / 11卷 / 05期

关键词：

Corpus; Correlation; Evaluation; Recurrent; Tokenizer; Translation;

D O I：

10.14569/IJACSA.2020.0110574

中图分类号：

学科分类号：

摘要：

This research developed a recurrent neural network model for English to Yoruba machine translation. Parallel corpus was obtained from the English and Yoruba bible corpus. The developed model was tested and evaluated using both manual and automatic evaluation techniques. Results from manual evaluation by ten human evaluators show that the system is adequate and fluent. Also, results from automatic evaluation shows that the developed model has decent and good translation as well as higher accuracy because it has better correlation with human judgment. © 2020 Science and Information Organization.

引用

页码：602 / 609

页数：7

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