IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 5, No 4: December 2016

Web-Based Yorùbá Numeral Translation System

Abayomi Olusola Agbeyangi (Moshood Abiola Polytechnic, Abeokuta, Ogun State, Nigeria)
Safiriyu Eludiora (Obafemi Awolowo University, Ile-Ife, Nigeria)
Popoola O. A (Obafemi Awolowo University, Ile-Ife, Nigeria)



Article Info

Publish Date
13 Feb 2017

Abstract

Yorùbá numerals have been seen as one of the most interesting but quite complicated numeral system. In this paper we present the development of a web-based English to Yorùbá numeral translation system. The system translates English numbers both in figure and text to its standard Yorùbá form. The computational processes underlying both numerals were used to formulate the model for the work. Unified Modeling language (UML) and Automata theory was used for the system design and specification. The designed system was implemented using Google Web App Engine with support for python. The result of the system evaluation using mean opinion score approach shows that the system gives a recall of 100% on all the output considered.

Copyrights © 2016






Journal Info

Abbrev

IJAI

Publisher

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...