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Joseph Attieh

Joseph Attieh has 3 papers in our library, in 2022–2025, most of them on Semitic languages, Machine translation, Sentiment & emotion; often with Fadi Hassan, Jörg Tiedemann, Mikko Aulamo.

3 papers in our library · 2022–2025

OpenAlex · ORCID · h-index 4 · 25 works · 86 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 20 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8338

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of HelsinkiHelsinki · Finland2024–2026 · 10 papersEducationEmploymentcurrent🎓Aalto UniversityEspoo · Finland2022–2023 · 3 papers🎓University of CambridgeCambridge · United Kingdom2025 · 2 papers🎓Lebanese American UniversityBeirut · Lebanon2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 2 worksLow-resource languages · 1 workMachine translation · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20251 paper20222 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Scaling Low-Resource MT via Synthetic Data Generation with LLMs (2025 · 15 citations)
    Most of the world's languages lack enough human-translated parallel text to train strong machine translation systems.
  2. Pythoneers at WANLP 2022 Shared Task: Monolingual AraBERT for Arabic Propaganda Detection and Span Extraction (2022 · 10 citations)
    The authors address propaganda detection in Arabic tweets for the WANLP 2022 shared task, which had two sub-tasks.
  3. Arabic Dialect Identification and Sentiment Classification using Transformer-based Models (2022 · 8 citations)
    The authors (team Pythoneers) describe two AraBERT-based systems for the NADI 2022 shared task. The first sub-task is country-level identification of Arabic dialects in tweets. The second is sentiment classification of dialectal tweets. For dialects, they derive two coarser labels from each country: a binary…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Scaling Low-Resource MT via Synthetic Data Generation with LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Ona de Gibert, Joseph Attieh, Teemu Vahtola, et al.2025 · 15 citations
  2. Pythoneers at WANLP 2022 Shared Task: Monolingual AraBERT for Arabic Propaganda Detection and Span ExtractionArabic Natural Language Processing Workshop (WANLP)Joseph Attieh, Fadi Hassan2022 · 10 citations
  3. Arabic Dialect Identification and Sentiment Classification using Transformer-based ModelsArabic Natural Language Processing Workshop (WANLP)Joseph Attieh, Fadi Hassan2022 · 8 citations
  4. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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