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Abualsoud Hanani

Abualsoud Hanani has 3 papers in our library, in 2016–2018, most of them on Speech & spoken language, Semitic languages; often with Aziz Qaroush, Stephen Taylor.

3 papers in our library · 2016–2018

OpenAlex · ORCID · h-index 11 · 32 works · 355 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 13 times in our library · ⭐ Paper Stars ranking: #7997

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

🎓Birzeit UniversityBirzeit · Palestine2012–2026 · 21 papersEmployment since 2012 · Assistant Prof., Electrical and Computer Engineeringcurrent🎓University of BirminghamBirmingham · United Kingdom2008–2012 · 5 papersEducation 2008–2012 · PhD, electronic, electrical and computer engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 · 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 worksSpeech & spoken language · 3 works

 Works by year

2010s

20181 paper20171 paper20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Identifying dialects with textual and acoustic cues (2017 · 24 citations)
    This paper describes the Birzeit/Fitchburg team's (ahaqst) entries in two VarDial 2017 DSL shared tasks. The Arabic task (ADI) had five dialect classes. The Swiss-German task (GDI) had four. For Arabic, the organizers supplied ASR transcripts and 400-dimensional I-vectors, and the team also downloaded the raw .wav…
  2. Classifying ASR Transcriptions According to Arabic Dialect (2016 · 15 citations)
    The paper reports one team's entries in the Arabic dialect track of the 2016 DSL shared task. Systems had to assign short Buckwalter-transcribed ASR segments to one of five classes: EGY, GLF, LAV, MSA or NOR. The training data had 7619 segments derived from the speech corpus of Ali et al. (2016), and the test set had…
  3. Birzeit Arabic Dialect Identification System for the 2018 VarDial Challenge (2018 · 4 citations)
    This paper covers the Birzeit University entry to the Arabic Dialect Identification (ADI) task at VarDial 2018.

 Co-authors here

2 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 13 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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