no code implementations • GWC 2019 • Mohamed Ali Batita, Mounir Zrigui
More precisely, we present the new content in terms of relations that have been added to the extended version of Arabic WordNet.
no code implementations • GWC 2018 • Mohamed Ali Batita, Mounir Zrigui
A rule-based approach for Arabic derivational relations is proposed in this paper to deal with this deficiency.
no code implementations • 18 Mar 2024 • Samawel Jaballi, Azer Mahjoubi, Manar Joundy Hazar, Salah Zrigui, Henri Nicolas, Mounir Zrigui
In this study, the authors present a novel methodology adept at decoding multilingual topic dynamics and identifying communication trends during crises.
no code implementations • JEPTALNRECITAL 2018 • Marwa Hadj Salah, Herv{\'e} Blanchon, Mounir Zrigui, Didier Schwab
OntoNotes comprend le seul corpus manuellement annot{\'e} en sens librement disponible pour l{'}arabe.
no code implementations • JEPTALNRECITAL 2018 • Marwa Hadj Salah, Lo{\"\i}c Vial, Herv{\'e} Blanchon, Mounir Zrigui, Didier Schwab
Nous {\'e}valuons la qualit{\'e} de nos syst{\`e}mes de d{\'e}sambigu{\"\i}sation gr{\^a}ce {\`a} un corpus d{'}{\'e}valuation en arabe nouvellement disponible.
no code implementations • 6 Feb 2018 • Marwa Hadj Salah, Didier Schwab, Hervé Blanchon, Mounir Zrigui
Machine translation (MT) is the process of translating text written in a source language into text in a target language.
no code implementations • 8 Oct 2016 • Mourad Mars, Mounir Zrigui, Mohamed Belgacem, Anis Zouaghi
This work is part of a large research project entitled "Or\'eodule" aimed at developing tools for automatic speech recognition, translation, and synthesis for Arabic language.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • JEPTALNRECITAL 2016 • Marwa Hadj Salah, Herv{\'e} Blanchon, Mounir Zrigui, Didier Schwab
Dans cet article, nous pr{\'e}sentons une m{\'e}thode pour am{\'e}liorer la traduction automatique d{'}un corpus annot{\'e} et porter ses annotations de l{'}anglais vers une langue cible.
no code implementations • JEPTALNRECITAL 2016 • Emna Hkiri, Souheyl Mallat, Mounir Zrigui
La reconnaissance d{'}entit{\'e}s nomm{\'e}es (REN) pour les langues naturelles telles que l{'}arabe est une t{\^a}che essentielle et difficile.
no code implementations • LREC 2016 • Naim Terbeh, Mounir Zrigui
We propose in this work a novel acoustic phonetic study for Arabic people suffering from language disabilities and non-native learners of Arabic language to classify Arabic continuous speech to pathological or healthy and to identify phonemes that pose pronunciation problems (case of pathological speeches).
no code implementations • JEPTALNRECITAL 2014 • Laroussi Merhbene, Anis Zouaghi, Mounir Zrigui