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A State-of-the-Art Review of Nigerian Languages Natural Language Processing Research

A State-of-the-Art Review of Nigerian Languages Natural Language Processing Research

Toluwase Victor Asubiaro, Ebelechukwu Gloria Igwe
Copyright: © 2021 |Pages: 21
ISBN13: 9781799834687|ISBN10: 1799834689|ISBN13 Softcover: 9781799834694|EISBN13: 9781799834700
DOI: 10.4018/978-1-7998-3468-7.ch008
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MLA

Asubiaro, Toluwase Victor, and Ebelechukwu Gloria Igwe. "A State-of-the-Art Review of Nigerian Languages Natural Language Processing Research." Developing Countries and Technology Inclusion in the 21st Century Information Society, edited by Alice S. Etim, IGI Global, 2021, pp. 147-167. https://doi.org/10.4018/978-1-7998-3468-7.ch008

APA

Asubiaro, T. V. & Igwe, E. G. (2021). A State-of-the-Art Review of Nigerian Languages Natural Language Processing Research. In A. Etim (Ed.), Developing Countries and Technology Inclusion in the 21st Century Information Society (pp. 147-167). IGI Global. https://doi.org/10.4018/978-1-7998-3468-7.ch008

Chicago

Asubiaro, Toluwase Victor, and Ebelechukwu Gloria Igwe. "A State-of-the-Art Review of Nigerian Languages Natural Language Processing Research." In Developing Countries and Technology Inclusion in the 21st Century Information Society, edited by Alice S. Etim, 147-167. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3468-7.ch008

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Abstract

African languages, including those that are natives to Nigeria, are low-resource languages because they lack basic computing resources such as language-dependent hardware keyboard. Speakers of these low-resource languages are therefore unfairly deprived of information access on the internet. There is no information about the level of progress that has been made on the computation of Nigerian languages. Hence, this chapter presents a state-of-the-art review of Nigerian languages natural language processing. The review reveals that only four Nigerian languages; Hausa, Ibibio, Igbo, and Yoruba have been significantly studied in published NLP papers. Creating alternatives to hardware keyboard is one of the most popular research areas, and means such as automatic diacritics restoration, virtual keyboard, and optical character recognition have been explored. There was also an inclination towards speech and computational morphological analysis. Resource development and knowledge representation modeling of the languages using rapid resource development and cross-lingual methods are recommended.

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