Search Results for author: lamia hadrich belguith

Found 22 papers, 0 papers with code

Semantic Language Model for Tunisian Dialect

no code implementations RANLP 2019 Abir MASMOUDI, Rim Laatar, Mariem Ellouze, lamia hadrich belguith

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) +2

Automatic diacritization of Tunisian dialect text using Recurrent Neural Network

no code implementations RANLP 2019 Abir Masmoudi, Mariem Ellouze, lamia hadrich belguith

The absence of diacritical marks in the Arabic texts generally leads to morphological, syntactic and semantic ambiguities.

Impact de l'agglutination dans l'extraction de termes en arabe standard moderne (Adaptation of a term extractor to the Modern Standard Arabic language)

no code implementations JEPTALNRECITAL 2016 Wafa Neifar, Thierry Hamon, Pierre Zweigenbaum, Mariem Ellouze, lamia hadrich belguith

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.

D\'etection automatique de l'ironie dans les tweets en fran\ccais

no code implementations JEPTALNRECITAL 2015 Jihen Karoui, Farah Benamara Zitoune, V{\'e}ronique Moriceau, Nathalie Aussenac-Gilles, lamia hadrich belguith

Cet article pr{\'e}sente une m{\'e}thode par apprentissage supervis{\'e} pour la d{\'e}tection de l{'}ironie dans les tweets en fran{\c{c}}ais.

Supervised learning model for parsing Arabic language

no code implementations31 Oct 2014 Nabil Khoufi, Chafik Aloulou, lamia hadrich belguith

Parsing the Arabic language is a difficult task given the specificities of this language and given the scarcity of digital resources (grammars and annotated corpora).

BIG-bench Machine Learning Sentence

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