Ahmed Guessoum
Ahmed Guessoum has 2 papers in our library, in 2019–2023, most of them on Semitic languages, Named entity recognition, Machine translation; often with Mohamed Seghir Hadj Ameur.
OpenAlex · ORCID · h-index 15 · 55 works · 746 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 8 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11512
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workDecision Sciences · 1 workLanguage and Linguistics · 1 workManagement Science and Operations Research · 1 work
🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksNamed entity recognition · 1 workMachine translation · 1 work
Works by year
2020s
2010s
Papers
- ANETAC: Arabic Named Entity Transliteration and Classification Dataset (2019 · 7 citations)
Research on Arabic named entity transliteration has been held back by a lack of training data. The only freely available English-Arabic resource the authors found has fewer than 13k pairs. This paper releases ANETAC, a dataset of 79,924 English-Arabic named entity pairs. Each pair is labelled as Person, Location, or… - Enrichment of Arabic WordNet Using Machine Translation and Transformers (2023)
The paper tackles the small size of Arabic WordNet (AWN). AWN has 11,269 Synsets, while Princeton WordNet (PWN) has 117,659. The authors align the two resources and keep only the PWN Synsets that have no Arabic counterpart. For each kept Synset they build a candidate Arabic version: lemmas, a definition and usage…
All works
- Semi-automatic evaluation of the grammatical coverage of machine translation systems ↗Proceedings of Machine Translation Summit VIII · no summary yetA. Guessoum, R. Zantout2001 · 12 citations
- ANETAC: Arabic Named Entity Transliteration and Classification DatasetarXiv:1907.03110Mohamed Seghir Hadj Ameur, Farid Meziane, Ahmed Guessoum2019 · 7 citations
- Enrichment of Arabic WordNet Using Machine Translation and TransformersInternational Conference on Natural Language and Speech ProcessingMohamed Dia Eddine Souci, Younes Cherifi, Lamia Berkani, et al.2023
Co-authors here
Venues
- International Conference on Natural Language and Speech Processing: International Conference on Natural Language and Speech Processing 2023
- Proceedings of Machine Translation Summit VIII
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