Elamur Research⌕
☰
home / authors / Mai Oudah

Mai Oudah

Mai Oudah has 2 papers in our library, in 2012–2020, most of them on Semitic languages, Named entity recognition; often with Alexander Erdmann, Bashar Alhafni, Dima Taji.

2 papers in our library · 2012–2020

OpenAlex · ORCID · Wikidata · h-index 11 · 28 works · 601 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 171 times in our library · ⭐ Paper Stars ranking: #4635

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

🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates2018–2026 · 16 paperscurrent🎓Masdar Institute of Science and TechnologyAbu Dhabi2015–2016 · 3 papers🎓British University in DubaiDubai · United Arab Emirates2012–2013 · 3 papers🎓New York UniversityNew York · United States2019–2020 · 2 papersEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions 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 2Research subjects and languages the work is about.Semitic languages · 2 worksNamed entity recognition · 1 work

 Works by year

2020s

20201 paper

2010s

20121 paper

 Papers

The most cited first (OpenAlex and our library).

  1. CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing (2020 · 290 citations)
    Arabic NLP resources are fragmented. Existing tools usually target a single variety, most often MSA and occasionally Egyptian. They are also written in different programming languages, expose different interfaces and data formats, and come under different licensing terms, so combining them in one application is hard.…
  2. A Pipeline Arabic Named Entity Recognition using a Hybrid Approach (2012 · 61 citations)
    Arabic NER is difficult because the script has no capitalization, words are agglutinative, short vowels are usually omitted, spellings vary, and annotated resources are scarce.

 Co-authors here

10 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 171 times (of the 149,439 papers whose bibliographies we read); 137 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/mai-oudah/