Improving Arabic Texts Morphological Disambiguation using Possibilistic Classifier (NLDB 2014)

Autor: Ayed, Raja, Bounhas, Ibrahim, Elayeb, Bilel, Bellamine Ben Saoud, Narjes, Evrard, Fabrice

Publikováno v: Natural Language Processing and Information Systems: 19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014, Montpellier, France, June 18-20, 2014. Proceedings ; ISBN: 978-3-319-07983-7
19th International Conference on Application of Natural Language to Information Systems (NLDB 2014)
19th International Conference on Application of Natural Language to Information Systems (NLDB 2014), Jun 2014, Montpellier, France. pp.138--147, ⟨10.1007/978-3-319-07983-7_18⟩

International audience; Morphological ambiguity is an important problem that has been studied through different approaches. We investigate, in this paper, some classification methods to disambiguate Arabic morphological features of non-vocalized text

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::39fd9ee31100d6619a061d4a9d57a948
https://hal.archives-ouvertes.fr/hal-03236164