CLIASR: a combined automatic speech recognition and language identification system

K Lounnas, H Satori, M Hamidi… - … research in applied …, 2020 - ieeexplore.ieee.org
In this paper, we aim to describe a novel technique which is a Combined Automatic Speech
Recognition and Language Identification System that uses both ASR and LI technologies …

Word-level vs sentence-level language identification: Application to algerian and arabic dialects

M Lichouri, M Abbas, AA Freihat… - Procedia Computer …, 2018 - Elsevier
In this paper, we investigate a set of methods for textual Arabic Dialect Identification, where
we considered word-level and sentence-level approaches. We used three classifiers …

Cloud computing architecture for Tagging Arabic Text Using Hybrid Model

W ALKISHRI, M Almutoory - Applied computing Journal, 2021 - acaa-p.com
With the increasing role of technology in transferring information in our daily lives, the Arabic
language has become the fourth language used on the Internet. Therefore, to develop …

Evaluating the Influence of Parallel Corpora on Arabic Dialect Identification: A Comparative Study

M Lichouri, K Lounnas, M Abbas - 2024 2nd International …, 2024 - ieeexplore.ieee.org
In this paper, we undertake an impact assessment to gauge the effectiveness of utilizing
parallel corpora in enhancing Arabic Dialect Identification (ADI) systems. The study …

[PDF][PDF] Impact of Parallel vs. Non Parallel Corpora on the Identification of Arabic Dialects

M Lichouri, M Abbas, K Lounnas - 2023 - osf.io
In this paper, we conduct a study to evaluate the performance of statistical and neural
methods to classify Arabic Dialects (AD). This evaluation is based on two kinds of corpora …

[PDF][PDF] AUTOMATC DIALECTAL RECOGNITION IN ARABIC BRAODCAST MEDIA

B Belainine, F Mallek, F Sadat - Casablanca 2017, 2017 - hal.science
This paper describes the first participation of UQAM's NLP team at the Arabic Multi-Genre
Broadcast (MGB) Challenge for ASRU 2017. The data used in this shared task was collected …