Upcoming Events
View All Events
October 2021
« Sep    

About Eludiora

Eludiora Safiriyu graduated from the Department of Computer Science and Engineering, Obafemi Awolowo University Ile-Ife. He has Bachelor degree in Computer Engineering, M.Sc. and PhD in Computer Science. He has more than twenty year working experience as a University Teacher.  He is a Senior Lecturer in the Department of Computer Science and Engineering, Obafemi Awolowo University Ile-Ife. He won Massachusetts Institute of Technology (MIT) Empowering The Teacher (MIT-ETT) Fellowship at MIT, United State of America. Sponsored by Total Nigeria Plc in Collaboration with MIT.

He has taught many courses and supervised many undergraduates and postgraduates students. His research interests are: data communication, embedded and real-time systems, machine translation, applied linguistics, cognitive computing. He has published many articles in reputable journals and contributed to the chapters of books. He attended many conferences within and outside Nigeria.

He has developed some software applications. One of the application areas of the English to Yoruba Machine Translation System is it possible uses in the media houses (Printing and Broadcasting) for the translation of news.

The need to develop corpus (database) for Nigerian indigenous languages (Hausa, Igbo and Yoruba) for machine translation systems informed the development of Hausa, Igbo and Yoruba text editors. These Nigerian indigenous languages’ must maintain their writing style. These text editors can be conveniently used to type words of any of the three Nigerian indigenous languages.  The National Copyright Commission (NCC) has issued a copyright certificate for the text editors.

A Yoruba word generator system has been developed, the system can tone mark Yoruba words. The system can generate millions of Yoruba words with tone marks. This can be used for research and Yoruba dictionary or Encyclopedia.

In addition, English text to Yoruba text numeral translation system had been developed the system can translate over a trillion number. The input numbers can be in words or Arabic numerals.

Google scholar page, Research gate