Abstract
Parsing Arabic corpora is an important task aiming to understand Arabic language, enrich and enhance the electronic resources, and increase the efficiency of natural language applications like translation or the recognition. In this paper, we propose a parsing approach for Arabic sentences especially for nominal ones. To do this, we first study the typology of the Arabic nominal sentence. Then, we develop a set of rules generating different nominal sentences. After that, we present our parsing approach based on transducers and on our tag set. In addition, we transform recursive graph of transducers into transducer cascade to reduce the complexity. Finally, we present the implementation and experimentation of our approach in NooJ platform. The obtained results are satisfactory.
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Hammouda, N.G., Haddar, K. (2018). Arabic NooJ Parser: Nominal Sentence Case. 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_6
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DOI: https://doi.org/10.1007/978-3-319-73420-0_6
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