activity
20202023
most citedHow Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

192 citations · 199 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 2 cited

Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word--Definition Alignment

Ahmed ElBakry, Mohamed Gabr, Muhammad ElNokrashy +1

A Reverse Dictionary is a tool enabling users to discover a word based on its provided definition, meaning, or description. Such a technique proves valuable in various scenarios, a…

cs.CL2023★ 192 cited

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Amr Hendy, Mohamed Abdelrehim, Amr Sharaf +6

Generative Pre-trained Transformer (GPT) models have shown remarkable capabilities for natural language generation, but their performance for machine translation has not been thoro…

cs.CL2022

The Shared Task on Gender Rewriting

Bashar Alhafni, Nizar Habash, Houda Bouamor +11

In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop. T…

cs.CL2021

Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task

Badr AlKhamissi, Mohamed Gabr, Muhammad ElNokrashy +1

In this paper, we tackle the Nuanced Arabic Dialect Identification (NADI) shared task (Abdul-Mageed et al., 2021) and demonstrate state-of-the-art results on all of its four subtas…

cs.CL2020★ 5 cited

Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization

Badr AlKhamissi, Muhammad N. ElNokrashy, Mohamed Gabr

We propose a novel architecture for labelling character sequences that achieves state-of-the-art results on the Tashkeela Arabic diacritization benchmark. The core is a two-level r…