no code implementations • LREC 2022 • Najet Hadj Mohamed, Cherifa Ben Khelil, Agata Savary, Iskandar Keskes, Jean-Yves Antoine, Lamia Hadrich-Belguith
This paper describes our efforts to extend the PARSEME framework to Modern Standard Arabic.
no code implementations • COLING (WANLP) 2020 • Saméh Kchaou, Rahma Boujelbane, Lamia Hadrich-Belguith
The difficulty of processing dialects is clearly observed in the high cost of building representative corpus, in particular for machine translation.
no code implementations • LREC 2022 • Saméh Kchaou, Rahma Boujelbane, Emna Fsih, Lamia Hadrich-Belguith
With the growing access to the internet, the spoken Arabic dialect language becomes informal languages written in social media.
no code implementations • WS 2019 • Sam{\'e}h Kchaou, Fethi Bougares, Lamia Hadrich-Belguith
This paper describes the joint participation of the LIUM and MIRACL Laboratories at the Arabic dialect identification challenge of the MADAR Shared Task (Bouamor et al., 2019) conducted during the Fourth Arabic Natural Language Processing Workshop (WANLP 2019).
1 code implementation • WS 2017 • Salima Medhaffar, Fethi Bougares, Yannick Est{\`e}ve, Lamia Hadrich-Belguith
There are many existing researches in the field of Arabic language Sentiment Analysis (SA); however, they are generally restricted to Modern Standard Arabic (MSA) or some dialects of economic or political interest.