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Automatic Extraction of the Phraseology Through NooJ

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Formalizing Natural Languages with NooJ and Its Natural Language Processing Applications (NooJ 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 811))

Abstract

To teach the nominal expressions of the phraseology to foreign learners, we must build a corpus from which we can extract desirable sequences. Modeling and disambiguation are at the heart of extraction. In this article, we discuss how the two procedures are established and also show how a data implementation is processed in NooJ. At the end of the article, our quantitative and qualitative analyses prove that the result of this extraction is positive.

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Notes

  1. 1.

    In NooJ, the single quotation marks (<>) allow us to find all the occurrences of this term and its variants.

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Authors and Affiliations

  1. DILTEC (Didactiques des langues, des textes et des cultures), Université Sorbonne Nouvelle (Paris 3), Paris, France

    Tong Yang

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  1. Tong Yang
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Correspondence to Tong Yang .

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Editors and Affiliations

  1. Université Ibn Tofail de Kénitra, Kenitra, Morocco

    Samir Mbarki

  2. Université Ibn Tofail de Kénitra, Kenitra, Morocco

    Mohammed Mourchid

  3. Université de Franche-Comté, Besançon, France

    Max Silberztein

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Yang, T. (2018). Automatic Extraction of the Phraseology Through NooJ. In: Mbarki, S., Mourchid, M., Silberztein, M. (eds) Formalizing Natural Languages with NooJ and Its Natural Language Processing Applications. NooJ 2017. Communications in Computer and Information Science, vol 811. Springer, Cham. https://doi.org/10.1007/978-3-319-73420-0_14

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  • DOI: https://doi.org/10.1007/978-3-319-73420-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73419-4

  • Online ISBN: 978-3-319-73420-0

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