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Integrating Corpus-Based Analyses in Language Teaching and Learning: Challenges and Guidelines

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Big Data, Cloud and Applications (BDCA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 872))

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Abstract

Over years, the major concern of researchers was using corpus linguistics as a source of evidence for linguistic description and argumentation, creating dictionaries, and language learning, among a wide range of research activities in several fields. However, this study focuses on the corpus-based studies that have a pedagogical purpose especially for an old Semitic language which recognized by a proud heritage, lexical richness, and speakers’ growth, the Arabic language. This latter is relatively a poor-resourced language and the integration of artificial intelligent techniques such as corpus-based analyses in its teaching and learning process has not made much progress and fall far behind compared to other languages. Therefore, this paper is another contribution that shed lights on the challenges faced by specialists working in the field of teaching and learning Arabic language. Further, the authors aim to increase awareness of the greatest advantage of integrating corpus-based analyses in education. Besides, some guidelines are proposed and relevant available resources for use are introduced to help in preparing efficient materials for language teaching and (self)-learning primarily for learners of Arabic.

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Notes

  1. 1.

    http://www.arabiclearnercorpus.com/.

  2. 2.

    http://www.scirra.com.

  3. 3.

    https://learningapps.org/.

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Authors and Affiliations

  1. Faculty of Sciences, Mohamed First University, Oujda, Morocco

    Imad Zeroual, Anoual El Kah & Abdelhak Lakhouaja

Authors
  1. Imad Zeroual
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  2. Anoual El Kah
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  3. Abdelhak Lakhouaja
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Corresponding author

Correspondence to Imad Zeroual .

Editor information

Editors and Affiliations

  1. Abdelmalek Essaâdi University, Tétouan, Morocco

    Youness Tabii

  2. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohamed Lazaar

  3. Abdelmalek Essaâdi University, Tétouan, Morocco

    Mohammed Al Achhab

  4. Université Ibn-Tofail, Tétouan, Morocco

    Nourddine Enneya

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Zeroual, I., El Kah, A., Lakhouaja, A. (2018). Integrating Corpus-Based Analyses in Language Teaching and Learning: Challenges and Guidelines. In: Tabii, Y., Lazaar, M., Al Achhab, M., Enneya, N. (eds) Big Data, Cloud and Applications. BDCA 2018. Communications in Computer and Information Science, vol 872. Springer, Cham. https://doi.org/10.1007/978-3-319-96292-4_42

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  • DOI: https://doi.org/10.1007/978-3-319-96292-4_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96291-7

  • Online ISBN: 978-3-319-96292-4

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