Faisal Al-Shargi
Faisal Al-Shargi has 3 papers in our library, in 2015–2018, most of them on Semitic languages, Morphology; often with Owen Rambow, Nizar Habash, Alexander Erdmann.
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📄 3 works in our library · 🔗 Cited 88 times in our library · ⭐ Paper Stars ranking: #5451
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works
🧭 Topics 2Research subjects and languages the work is about.Semitic languages · 3 worksMorphology · 2 works
Works by year
2010s
Papers
- Unified Guidelines and Resources for Arabic Dialect Orthography (2018 · 118 citations)
Modern Standard Arabic has a fixed spelling standard, but spoken Arabic dialects have none. As a result, one dialectal word can appear online in dozens of forms, which fragments data and hurts NLP systems. Earlier Conventional Orthography for Dialectal Arabic (CODA) work covered one dialect at a time. Its rules were… - DIWAN: A Dialectal Word Annotation Tool for Arabic (2015 · 65 citations)
Arabic dialects have few annotated resources. Tools built for Modern Standard Arabic (MSA) perform poorly on dialectal text, which often lacks spelling norms and mixes freely with MSA. The authors present DIWAN, a Windows desktop tool for word-level morphological annotation of dialectal Arabic. Its main design idea… - Morphologically Annotated Corpora and Morphological Analyzers for Moroccan and Sanaani Yemeni Arabic (2016 · 44 citations)
Arabic dialects are now widely written online, but NLP tools mostly target Modern Standard Arabic (MSA) and Classical Arabic.
Co-authors here
- Owen Rambow ×3
- Nizar Habash ×2
- Alexander Erdmann
- Dana Abdulrahim
- Fadhl Eryani
- Houda Bouamor
- Nasser Zalmout
- Ramy Eskander
- Reem Faraj
- Salam Khalifa
- Sara Hassan
- Wajdi Zaghouani
Venues
- Language Resources and Evaluation Conference (LREC) ×2: LREC 2018, LREC 2016
- Workshop on Arabic Natural Language Processing: Workshop on Arabic Natural Language Processing 2015
Cited by
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