Muhammad Abdul-Mageed
6 papers in the PaperMetrix corpus
Papers by this author
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Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments
2020
Although prediction of dialects is an important language processing task, with a wide range of applications, existing work is largely limited to coarse-grained varieties. Inspired by geolocation research, we propose the novel task of Micro-Dialect …
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A Benchmark Study of Contrastive Learning for Arabic Social Meaning
2022 · arXiv (Cornell University)
Contrastive learning (CL) brought significant progress to various NLP tasks. Despite this progress, CL has not been applied to Arabic NLP to date. Nor is it clear how much benefits it could bring to particular …
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JASMINE: Arabic GPT Models for Few-Shot Learning
2022 · arXiv (Cornell University)
Scholarship on generative pretraining (GPT) remains acutely Anglocentric, leaving serious gaps in our understanding of the whole class of autoregressive models. For example, we have little knowledge about the potential of these models and their …
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NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities
2025 · arXiv (Cornell University)
Enhancing the linguistic capabilities of Large Language Models (LLMs) to include low-resource languages is a critical research area. Current research directions predominantly rely on synthetic data generated by translating English corpora, which, while demonstrating promising …
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You Tweet What You Speak: A City-Level Dataset of Arabic Dialects
2018
Arabic has a wide range of varieties or dialects.Although a number of pioneering works have targeted some Arabic dialects, other dialects remain largely without investigation.A serious bottleneck for studying these dialects is lack of any …
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ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
2021
Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.