Search Results for author: Mounir Zrigui

Found 15 papers, 0 papers with code

The Extended Arabic WordNet: a Case Study and an Evaluation using a Word Sense Disambiguation System

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.

Word Sense Disambiguation

Derivational Relations in 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.

Système de traduction automatique statistique Anglais-Arabe

no code implementations6 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.

Machine Translation Translation

A Semantic Analyzer for the Comprehension of the Spontaneous Arabic Speech

no code implementations8 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

Am\'elioration de la traduction automatique d'un corpus annot\'e (Improvement of the automatic translation of an annotated corpus)

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.

Syst\`eme hybride pour la reconnaissance des entit\'es nomm\'ees arabes \`a base des CRF (Hybrid arabic NER system using CRF Model)

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.

NER

Vocal Pathologies Detection and Mispronounced Phonemes Identification: Case of Arabic Continuous Speech

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).

General Classification

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