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Stephen Taylor

Stephen Taylor has 5 papers in our library, in 2016–2026, most of them on Semitic languages, Speech & spoken language; often with Abualsoud Hanani, Aziz Qaroush, Pavel Přibáň.

5 papers in our library · 2016–2026

OpenAlex · ORCID · h-index 7 · 54 works · 125 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 17 times in our library · ⭐ Paper Stars ranking: #7761

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

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

2010s

 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. ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects (2019 · 11 citations)
    The paper describes the University of West Bohemia entry to the MADAR shared task on fine-grained Arabic dialect identification. Subtask 1 (S-1) assigns a sentence to one of 25 city dialects or MSA. Subtask 2 (S-2) infers a Twitter user's country, out of 21, from their tweets.
  4. UWB at Arabic Reverse Dictionary shared task: Computing the meaning of a gloss (2023 · 1 citation)
    The paper describes a University of West Bohemia entry to the KSAA-RD reverse dictionary shared task. Given a short Arabic or English definition (gloss), a system must predict the embedding of the defined word sense, either as an SGNS vector or as an Electra vector. The author deliberately avoided neural networks.…
  5. UWB at SemEval-2026 Task 5: Synsets and their contexts (2026)
    This system paper describes a University of West Bohemia entry to SemEval-2026 Task 5. The task asks systems to predict how plausible human annotators find a given WordNet sense of an ambiguous word within short, five-part stories. The stories are from the AmbiStory dataset. Each has three context sentences, 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 17 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

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