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A First Step Towards the Development of Yoruba Named Entity Recognition System

by Ikechukwu I. Ayogu, Adebayo O. Adetunmbi, Bosede A. Ayogu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 41
Year of Publication: 2019
Authors: Ikechukwu I. Ayogu, Adebayo O. Adetunmbi, Bosede A. Ayogu
10.5120/ijca2019918465

Ikechukwu I. Ayogu, Adebayo O. Adetunmbi, Bosede A. Ayogu . A First Step Towards the Development of Yoruba Named Entity Recognition System. International Journal of Computer Applications. 182, 41 ( Feb 2019), 1-4. DOI=10.5120/ijca2019918465

@article{ 10.5120/ijca2019918465,
author = { Ikechukwu I. Ayogu, Adebayo O. Adetunmbi, Bosede A. Ayogu },
title = { A First Step Towards the Development of Yoruba Named Entity Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2019 },
volume = { 182 },
number = { 41 },
month = { Feb },
year = { 2019 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number41/30362-2019918465/ },
doi = { 10.5120/ijca2019918465 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:55.587421+05:30
%A Ikechukwu I. Ayogu
%A Adebayo O. Adetunmbi
%A Bosede A. Ayogu
%T A First Step Towards the Development of Yoruba Named Entity Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 41
%P 1-4
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The NER task can be considered solved for English and a few other European languages given the available research outputs, tools, resources and applications involving NER for these languages. The scenario is sharply different for Nigerian and most of African languages and hence the motivation for the research reported in this paper. The paper presents an exploration of the potency of some language independent features in the recognition of the mentions of persons, locations and organizations in Yor`ub´a text in a supervised machine learning set-up. The results are promising but as further investigations revealed, the size of the training corpus is yet an issue that needs to be addressed.

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Index Terms

Computer Science
Information Sciences

Keywords

Named entities NER Yoruba language Natural language processing

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