4 papers
GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data
Abderrahman Skiredj, Ferdaous Azhari, Houdaifa Atou +2
Open-source large language models (LLMs) still marginalise Moroccan Arabic (Darija), forcing practitioners either to bolt on heavyweight Arabic adapters or to sacrifice the very re…
DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers
Abderrahman Skiredj, Ferdaous Azhari, Ismail Berrada +1
Navigating the complexities of language diversity is a central challenge in developing robust natural language processing systems, especially in specialized domains like banking. T…
Arabic Text Diacritization In The Age Of Transfer Learning: Token Classification Is All You Need
Abderrahman Skiredj, Ismail Berrada
Automatic diacritization of Arabic text involves adding diacritical marks (diacritics) to the text. This task poses a significant challenge with noteworthy implications for computa…
CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic
Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar +2
Sarcasm is a form of figurative language where the intended meaning of a sentence differs from its literal meaning. This poses a serious challenge to several Natural Language Proce…