Abstract
Annotating sentences is important to exploit the different features of Arabic corpora. This annotation can be successful thanks to a robust analyzer. That is why in this paper we propose to mention the improvement of our previous analyzer. To do this, we propose a description of our previous analyzer, which presents advantages and gaps. Then, we choose a method of improvement, which is inspired by the former one. Finally, we put forward an idea about the implementation and experimentation of our new cascade of transducers in NooJ platform. The obtained results appear satisfactory.
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Ghezaiel Hammouda, N., Haddar, K. (2019). Improvement of Arabic NooJ Parser with Disambiguation Rules. In: Mirto, I., Monteleone, M., Silberztein, M. (eds) Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications. NooJ 2018. Communications in Computer and Information Science, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-030-10868-7_18
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DOI: https://doi.org/10.1007/978-3-030-10868-7_18
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