Authors
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Jacinta Chioma Odirichukwu
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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Precious Kelechukwu Chika-Ugada
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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Reginald Nnadozie Nnamdi
Department of Philosophy, Veritas University Abuja.
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Simon Peter Chimaobi Odirichukwu
Department of Health, Primary Health Development Agency, Owerri, Imo State, Nigeria
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Chinwe Ndigwe
Department of Computer Science, Chukwuemeka Odumegwu Ojukwu University (COOU), Uli
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Oluwatobi Wisdom Atolagbe
EOS Energy Storage, Edison, NJ, USA
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Chigozie Dimoji
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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Obilor Athanasius Njoku
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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John Chinenye Nwoke
CISCO/ICT Unit, Federal Government College, Port Harcourt, Rivers STate, Nigeria
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Godwin Oko Ekuma
Department of Computer Science , Missouri State University, Springfield, MO, USA
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Iyanu Tomiwa Durotola
Department of Computer Science, Maharishi International University, Fairfield, IA, USA
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Chiedozie Raphael Dunu
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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Joshua Nzubechukwu Dinneya
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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4Felix Nmesoma Diala
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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Samuel Chizitaram Dialaeme-Diolulu
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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Prince Liberty Chukchukwuka
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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John Prince Uzodinma
Department of Computer Science, Federal University of Technology, Owerri (FUTO)
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Ezekiel Gabriel Nwibo
8Department of Computing, School of Arts and Creative Technologies, University of Greater Manchester Bolton, UK.
Keywords:
Named Entity Recognition, Igbo Language, Low-Resource Languages, Natural Language Processing, African NLP
Abstract
This is a review paper, which is concerned with the recent nature of Named Entity Recognition (NER) for the Igbo language. It is a low-resource language spoken in the Southeastern part of Nigeria. Irrespective of the numerous advancements in NER for high-resource languages, Igbo NER so far remains underrepresented. This is for its unique linguistic challenges, which includes morphological richness and dialect variations. In recent times, frank efforts have been put forward by MasakhaNER and WAZOBIA NER projects to develop NER datasets and models for the Igbo language. The existing datasets are limited in size and domain coverage. For this reason there are needs for high-quality, large-scale, manually annotated NER datasets for real-world deployment. This paper reviews the existing literature works on Igbo NER, highlighting the challenges, creating opportunities and looking into the potential applications of NER in developing Igbo digital assistants, intelligent search, and machine translation. This work aims to contribute to the growth and development of low-resource African NLP with the provision of future research in indigenous language NER
