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Automatic diacritization of Tunisian dialect text using Recurrent Neural Network
The absence of diacritical marks in the Arabic texts generally leads to morphological, syntactic and semantic ambiguities.
Semantic Language Model for Tunisian Dialect
Additionally, to assess the impact of using the CRF model to perform the semantic labelling task in order to construct semantic classes, we compared the n-class created model with using the CRF in the semantic labelling task and the n- class model without using the CRF in the semantic labelling task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Impact de l'agglutination dans l'extraction de termes en arabe standard moderne (Adaptation of a term extractor to the Modern Standard Arabic language)
L{'}adaptation a d{'}abord consist{\'e} {\`a} d{\'e}crire le processus d{'}extraction des termes de mani{\`e}re similaire {\`a} celui d{\'e}fini pour l{'}anglais et le fran{\c{c}}ais en prenant en compte certains particularit{\'e}s morpho-syntaxiques de la langue arabe.
A Conventional Orthography for Tunisian Arabic
Tunisian Arabic is a dialect of the Arabic language spoken in Tunisia.
