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Ashraf Tantawy

Ashraf Tantawy has 2 papers in our library, in 2022–2024, most of them on Machine translation, Semitic languages, Sentiment & emotion; often with Constantin Orăsan, Hadeel Saadany, Emad Mohamed.

2 papers in our library · 2022–2024

OpenAlex · ORCID · Wikidata · h-index 9 · 46 works · 365 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #11150

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

🎓De Montfort UniversityLeicester · United Kingdom2021–2024 · 15 papersEmployment since 2021current🎓Birmingham City UniversityBirmingham · United Kingdom2024 · 1 papercurrent🎓University of SurreyGuildford · United Kingdom2024 · 1 papercurrent🎓Vanderbilt UniversityNashville · United States2008–2012 · 12 papersEducation🎓Virginia Commonwealth UniversityRichmond · United States2018–2021 · 11 papersEmployment 2018–2021🏥Virginia Commonwealth University Medical CenterRichmond · United States2019–2021 · 4 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Machine translation · 2 worksSemitic languages · 2 worksSentiment & emotion · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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…

 Co-authors here

3 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 4 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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