Mohamed Gabr
Mohamed Gabr has 4 papers in our library, in 2020–2023, most of them on Semitic languages; often with Muhammad ElNokrashy, Badr AlKhamissi, Ahmed Elbakry.
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📄 4 works in our library · 🔗 Cited 33 times in our library · ⭐ Paper Stars ranking: #8118
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Semitic languages · 4 works
Works by year
2020s
Papers
- Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization (2020 · 18 citations)
Written Arabic usually leaves out short vowels, consonant doubling and similar marks, so readers infer them from context. - Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task (2021 · 11 citations)
The paper addresses fine-grained Arabic dialect identification for the NADI 2021 shared task. Systems must guess where a short tweet comes from, at both country and province level, for dialectal Arabic (DA) and Modern Standard Arabic (MSA). That makes four subtasks, covering 21 countries and 100 provinces. The… - Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word–Definition Alignment (2023 · 7 citations)
The paper describes the top-ranked system in the KSAA-RD shared task on an Arabic reverse dictionary. A reverse dictionary takes a description and returns the word it describes, which helps with tip-of-the-tongue situations. In this task, systems must output a vector for an Arabic word, both its SGNS embedding and… - The Shared Task on Gender Rewriting (2022 · 3 citations)
This paper reports on a shared task, held at WANLP 2022, on gender rewriting for Modern Standard Arabic. The task takes a sentence and produces versions that fit each combination of speaker gender and listener gender. In Arabic, words that refer to the first or second person carry grammatical gender, so a system that…
Co-authors here
- Muhammad ElNokrashy ×4
- Badr AlKhamissi ×3
- Ahmed Elbakry ×2
- Abdelrahim Qaddoumi
- Abderrahmane Issam
- Bashar Alhafni
- Daliyah Alzeer
- Houda Bouamor
- Khaled Essam
- Nizar Habash
- Ossama Obeid
- Sultan Alrowili
Venues
- Arabic Natural Language Processing Workshop (WANLP) ×3: WANLP 2022, WANLP 2021, WANLP 2020
- Arabic Natural Language Processing Conference (ArabicNLP): ArabicNLP 2023
Cited by
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