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Resources and Tools for Automated Speech Segmentation of the African Language Naija (Nigerian Pidgin)

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Human Language Technology. Challenges for Computer Science and Linguistics (LTC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12598))

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Abstract

The development of HLT tools inevitably involves the need for language resources. However, only a handful number of languages possesses such resources. This paper presents the development of HLT tools for the African language Naija (Nigerian Pidgin), spoken in Nigeria. Particularly, this paper is focusing on developing language resources for a tokenizer, an automatic speech system for predicting the pronunciation of the words and their segmentation.

The newly created resources are integrated into SPPAS software tool and distributed under the terms of public licenses.

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Notes

  1. 1.

    Source: http://www.internetworldstats.com/af/ng.htm - 2017-10.

  2. 2.

    Source: https://www.ethnologue.com/country/NG - 2017-06.

  3. 3.

    http://naijasyncor.huma-num.fr/.

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Acknowledgements

This work was financed by the French “Agence Nationale pour la Recherche” (ANR-16-CE27-0007).

Author information

Authors and Affiliations

  1. LPL, CNRS, Aix-Marseille Univ., 5, Avenue Pasteur, 13100, Aix-en-Provence, France

    Brigitte Bigi

  2. UMR 7114, MODYCO-CNRS, Université Paris Nanterre, 200 Avenue de la Republique, 92000, Nanterre, France

    Oyelere S. Abiola

  3. Llacan, CNRS, Inalco, Paris, France

    Bernard Caron

Authors
  1. Brigitte Bigi
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  2. Oyelere S. Abiola
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  3. Bernard Caron
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Corresponding author

Correspondence to Brigitte Bigi .

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Editors and Affiliations

  1. Adam Mickiewicz University, Poznań, Poland

    Zygmunt Vetulani

  2. Laboratoire d’Informatique pour la Méca, Orsay, France

    Patrick Paroubek

  3. Adam Mickiewicz University, Poznań, Poland

    Marek Kubis

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Bigi, B., Abiola, O.S., Caron, B. (2020). Resources and Tools for Automated Speech Segmentation of the African Language Naija (Nigerian Pidgin). In: Vetulani, Z., Paroubek, P., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2017. Lecture Notes in Computer Science(), vol 12598. Springer, Cham. https://doi.org/10.1007/978-3-030-66527-2_12

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  • DOI: https://doi.org/10.1007/978-3-030-66527-2_12

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