Abstract
In this paper, we have studied the morphological analyzer of Arabic in NooJ and we have contributed to its improvement in order to propose a new method of treatment of agglutination in Arabic. So, we will process the future tense like an agglutination and not like a conjugated tense using an inflectional graph. And we will cover all cases and possibilities of proclitic and enclitic respecting linguistic rules and we will transform the used morphological graph in NooJ to morpho-syntactic graph.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mesfar, S.: Analyse morpho-syntaxique automatique et reconnaissance des entités nommées en arabe standard. Ph.D. thesis, Franche-Comte University, France (2008)
Boulknadel, S.: Traitement automatique des langues et recherche d’information en langue arabe: Apport des connaissances morphologiques et syntaxiques pour l’indexation. Ph.D. thesis, Nantes University, France (2008)
Beesley, K.: Finite-state morphological analysis and generation of Arabic at Xerox research: status and plans in 2001. In: Actes du Workshop the Arabic Language Processing. ACL Workshop, Toulouse (2001)
Tuerlinckx, L.: La lemmatisation de l’arabe non classique. In: 7ème journées internationales d’analyse statistique des données textuelles, JADT 2004, Louvain-la-neuve, Belgique (2004)
Khoja, S., Garside, R., Knowles, G.: A tagset for the morphosyntactic tagging of Arabic. In: Proceeding of Corpus Linguistics, pp. 341–353, Lancaster, UK (2001)
Abdelwahed, “العَربيالتّصريففِيقِراءةالفِعلبِنية. Sfax University, Tunisia (1996)
Douzidia, F.S.: Résumé automatique de texte arabe. Master thesis, Montréal University, Québec (2004)
Khemakhem: ArabicLDB: une base lexicale normalisée pour la langue arabe. Master thesis, Sfax University, Tunisia (2006)
Silberztein, M. (ed.): Formalizing Natural Languages: The NooJ Approach. Wiley-ISTE, January 2016. ISBN 978-1-84821-902-1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Kassmi, R., Mourchid, M., Mouloudi, A., Mbarki, S. (2018). Processing Agglutination with a Morpho-Syntactic Graph in 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_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-73420-0_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73419-4
Online ISBN: 978-3-319-73420-0
eBook Packages: Computer ScienceComputer Science (R0)