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Stemming and Lemmatization for Information Retrieval Systems in Amazigh Language

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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

Stemming and lemmatization are two language modeling techniques used to improve the document retrieval precision performances. Stemming is a procedure to reduce all words with the same stem to a common form whereas lemmatization removes inflectional endings and returns the base form of a word.

The idea of this paper is to explain how a stemming or lemmatization in Amazigh language can improve the search outcomes by providing results that fit better with the query the user introduced.

In Document retrieval systems, lemmatization produced better precision compared to stemming. Overall the findings suggest that language modeling techniques improves document retrieval, with lemmatization technique producing the best result.

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Author information

Authors and Affiliations

  1. LEC Laboratory, EMI School, University Med V, Rabat, Morocco

    Amri Samir & Zenkouar Lahbib

Authors
  1. Amri Samir
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  2. Zenkouar Lahbib
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Corresponding author

Correspondence to Amri Samir .

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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Samir, A., Lahbib, Z. (2018). Stemming and Lemmatization for Information Retrieval Systems in Amazigh Language. 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_18

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  • DOI: https://doi.org/10.1007/978-3-319-96292-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96291-7

  • Online ISBN: 978-3-319-96292-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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