Results 171 to 180 of about 262,338 (204)

NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task

ARABICNLP, 2023
We describe the findings of the fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023). The objective of NADI is to help advance state-of-the-art Arabic NLP by creating opportunities for teams of researchers to collaboratively compete under
M. Abdul-Mageed, AbdelRahim Elmadany, Chiyu Zhang, El Moatez Billah Nagoudi, Houda Bouamor, Nizar Habash   +5 more
semanticscholar   +1 more source

Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification

ARABICNLP, 2023
Automatic Arabic Dialect Identification (ADI) of text has gained great popularity since it was introduced in the early 2010s. Multiple datasets were developed, and yearly shared tasks have been running since 2018.
Amr Keleg, Walid Magdy
semanticscholar   +1 more source

Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Corpora with Morphological Annotations

ACS/IEEE International Conference on Computer Systems and Applications, 2022
This article presents morphologically-annotated Yemeni, Sudanese, Iraqi, and Libyan Arabic dialects (${\text{L}\hat{\text{i}}\text{sa}\bar{\text{n}}}$) corpora. ${\text{L}\hat{\text{i}}\text{sa}\bar{\text{n}}}$ features around 1.2 million tokens.
Mustafa Jarrar, F. Zaraket, Tymaa Hammouda, Daanish Masood Alavi, Martin Waahlisch   +4 more
semanticscholar   +1 more source

Arabic Dialect Identification with a Few Labeled Examples Using Generative Adversarial Networks

AACL, 2022
Given the challenges and complexities introduced while dealing with Dialect Arabic (DA) variations, Transformer based models, e.g., BERT, outperformed other models in dealing with the DA identification task.
Mahmoud Yusuf, Marwan Torki, Nagwa M. El-Makky   +2 more
semanticscholar   +1 more source

The functions of the verb ‘to say’ in the Jordanian Arabic dialect of Irbid

Poznan Studies in Contemporary Linguistics, 2021
This research investigates the functions of the verb ‘to say’ in the Jordanian Arabic dialect of Irbid (JADI). Relying on a 250,000-word corpus, we propose that the speech verb ‘to say’ in JADI has one main lexical function (i.e.
Ekab Al-shawashreh, Marwan Jarrah, M. Zuraikat   +2 more
semanticscholar   +1 more source

SudaBERT: A Pre-trained Encoder Representation For Sudanese Arabic Dialect

2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), 2021
Bidirectional Encoder Representations from Transformers (BERT) has proven to be very efficient at Natural Language Understanding (NLU), as it allows to achieve state-of-the-art results in most NLU tasks.
Mukhtar Elgezouli, Khalid N. Elmadani, Muhammed Saeed   +2 more
semanticscholar   +1 more source

NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task

ARABICNLP
We describe the findings of the fifth Nuanced Arabic Dialect Identification Shared Task (NADI 2024). NADI’s objective is to help advance SoTA Arabic NLP by providing guidance, datasets, modeling opportunities, and standardized evaluation conditions that ...
M. Abdul-Mageed, Amr Keleg, AbdelRahim Elmadany, Chiyu Zhang, Injy Hamed, Walid Magdy, Houda Bouamor, Nizar Habash   +7 more
semanticscholar   +1 more source

ADI17: A Fine-Grained Arabic Dialect Identification Dataset

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
In this paper, we describe a method to collect dialectal speech from YouTube videos to create a large-scale Dialect Identification (DID) dataset. Using this method, we collected dialectal Arabic from known YouTube channels from 17 Arabic speaking ...
Suwon Shon, Ahmed M. Ali, Younes Samih, Hamdy Mubarak, James R. Glass   +4 more
semanticscholar   +1 more source

Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect

COLING Workshops
We introduce Atlas-Chat, the first-ever collection of LLMs specifically developed for dialectal Arabic. Focusing on Moroccan Arabic, also known as Darija, we construct our instruction dataset by consolidating existing Darija language resources, creating ...
Guokan Shang, Hadi Abdine, Yousef Khoubrane, Amr Mohamed, Yassine Abbahaddou, Sofiane Ennadir, Imane Momayiz, Xuguang Ren, Éric Moulines, Preslav Nakov, M. Vazirgiannis, Eric Xing   +11 more
semanticscholar   +1 more source

Spoken Arabic dialect recognition using X-vectors

Natural Language Engineering, 2020
This paper describes our automatic dialect identification system for recognizing four major Arabic dialects, as well as Modern Standard Arabic. We adapted the X-vector framework, which was originally developed for speaker recognition, to the task of ...
Abualsoud Hanani, Rabee Naser
semanticscholar   +1 more source