🧑‍🔬 Hadeel Saadany

🏛️ Affiliations

🎓Birmingham City UniversityBirmingham · United Kingdom2024–2026 · 10 papersEmployment since 2026 · Senior Lecturer, Computingcurrent🎓University of SurreyGuildford · United Kingdom2019–2024 · 18 papersEmployment 2019–2024 · Post-doctoral Research Fellow, CTS🎓University of WolverhamptonWolverhampton · United Kingdom2018–2023 · 5 papersEducation 2018–2019 · Master in Computational Linguistics, RGCLEmployment 2021–2023 · NLP Researcher, RGCL

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews (2020 · 11 citations)
   Online NMT systems often mishandle sentiment in Arabic user-generated reviews. These reviews mix Modern Standard Arabic (MSA) with dialect, mostly Egyptian. Some words carry opposite polarity in the two varieties, so a translation can lose the evaluation entirely or reverse it.
2. A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT (2022 · 7 citations)
   Machine translation of Arabic user-generated text (UGT), such as tweets and reviews, often flips sentiment.
3. Fake or Real? A Study of Arabic Satirical Fake News (2020 · 7 citations)
   This paper asks whether Arabic satirical news, which imitates the style of official outlets and can be mistaken for genuine reporting once shared without its source, can be told apart from real news automatically.
4. Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study (2024 · 3 citations)
   Free neural MT tools often produce fluent output that is quietly wrong. Neither readers who don't know the source language nor standard quality metrics tend to notice. The authors study this risk for Arabic tweets about mental health. Here a mistranslation can hide signs of depression or suicidal thinking from a…

All works

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

1. BLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-Oriented Text ↗Proceedings of the Translation and Interpreting Technology Online Conference · no summary yetHadeel Saadany, Constantin Orasan2021 · 46 citations
2. Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic ReviewsArabic Natural Language Processing Workshop (WANLP)Hadeel Saadany, Constantin Orasan2020 · 11 citations
3. Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication ↗arXiv:2402.04023 · no summary yetJaleh Delfani et al.2024 · 9 citations
4. Better Transcription of UK Supreme Court Hearings ↗arXiv:2211.17094 · no summary yetHadeel Saadany et al.2022 · 9 citations
5. Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems ↗Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021) · no summary yetHadeel Saadany et al.2021 · 9 citations
6. A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGTArabic Natural Language Processing Workshop (WANLP)Hadeel Saadany, Constantin Orăsan, Emad Mohamed, et al.2022 · 7 citations
7. Fake or Real? A Study of Arabic Satirical Fake NewsProceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM)Hadeel Saadany, Constantin Orasan, Emad Mohamed2020 · 7 citations
8. Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case StudyarXiv:2405.11668Hadeel Saadany, Ashraf Tantawy, Constantin Orasan2024 · 3 citations
9. Automatic Linking of Judgements to UK Supreme Court Hearings ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetHadeel Saadany, Constantin Orasan2023 · 3 citations
10. Arabic-Centric Large Language Models for Dialectal Arabic Sentiment Analysis Task ↗Proceedings of the Shared Task on Sentiment Analysis for Arabic Dialects · no summary yetSalwa Saad Alahmari et al.2025
11. Linking Judgement Text to Court Hearing Videos: UK Supreme Court as a Case Study ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetHadeel Saadany et al.2024

🤝 Co-authors here

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

• Constantin Orasan ×4
• Ashraf Tantawy ×2
• Emad Mohamed ×2

Venues

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

• Arabic Natural Language Processing Workshop (WANLP) ×2: WANLP 2022, WANLP 2020
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
• Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
• Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM)
• Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
• Proceedings of the Shared Task on Sentiment Analysis for Arabic Dialects
• Proceedings of the Translation and Interpreting Technology Online Conference

🔗 Cited by

Papers of our library cite their works 43 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 31 October 2026

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