International Journal on Data Science and Technology
Volume 5, Issue 1, March 2019, Pages: 1-7
Received: Mar. 1, 2019;
Accepted: Apr. 8, 2019;
Published: May 15, 2019
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Emejulu Augustine Obiajulu, Department of Communication and Translation Studies, National Institute for Nigerian Languages, Aba, Nigeria
Okpala Izunna Udebuana, Department of Communication and Translation Studies, National Institute for Nigerian Languages, Aba, Nigeria
Nwakanma Ifeanyi Cosmas, Department of Information Management Technology, Federal University of Technology, Owerri, Nigeria
Effective communication occurs when the receiver and sender both understand and synchronize the flow of information across board. The utility of language extends beyond human to human interaction and includes also, the use of syntactically formed programming languages to interact with digital systems. Nigeria has an estimate of over 450 languages, which makes it cumbersome to harmonize and put all into a single large repository for data mining. The goal of this paper is to firmly establish the importance of Information Technology in galvanizing Nigerian Languages and Mining scientific data thereof. The purpose of applying Information and Communication Technology (ICT) is to codify the process of extracting various underlying meanings in a language, processing the various idioms, proverbs and quaint statements in such language with the view of bringing out the creativity behind them. The authors explore the developmental stages and techniques of applying an artificial Intelligence system that scans through a given indigenous linguistic system to bring out the hidden facts therein. It is recommended that stakeholders in the ‘digital humanities’ adopt such mining platforms which helps in achieving greater insight into the diverse cultures and languages, in turn, promoting easy learning experience for indigenous languages.
Emejulu Augustine Obiajulu,
Okpala Izunna Udebuana,
Nwakanma Ifeanyi Cosmas,
Digital Language Mining Platform for Nigerian Languages (DLMP), International Journal on Data Science and Technology.
Vol. 5, No. 1,
2019, pp. 1-7.
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