Abstract
Natural language automatic processing is a sequence of morphological, syntactic and semantic analysis. The first step for our future system is to have a morphological analyzer that aims to assign to each individual Arabic word the grammatical categories and some other linguistic characteristics. In general, making a morphological analyzer can be done by following several steps: special characters removal, segmentation, special-words isolation, stemming and diacritization. There are numerous well-known morphological analyzers such as Alkhalil Morpho Sys [1, 5], Buckwalter [6] and ElixirMF [7]. So regarding our use of Alkhalil Morpho Sys [1] in our translation system, we have evaluated it by considering that our future system can be used by any kind of person, linguistic or non-linguistic that can give a text containing some frequent mistakes.
The main objective from evaluating Alkhalil Morpho Sys [1, 5] is certainly not to criticize it, because it has already proven itself as one of the most robust analyzers as we will see in this paper, but to increase the number of results in the output and reduce the number of fails done by the users. The experimental results appear to be very encouraging and several future works can be considered.
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Brour, M., Benabbou, A. (2018). Adapting Alkhalil Morpho Sys as Part of a Translation System from Arabic to Arabic Sign Language. In: Noreddine, G., Kacprzyk, J. (eds) International Conference on Information Technology and Communication Systems. ITCS 2017. Advances in Intelligent Systems and Computing, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-319-64719-7_31
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DOI: https://doi.org/10.1007/978-3-319-64719-7_31
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