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Fahad Albogamy

Fahad Albogamy has 5 papers in our library, in 2015–2017, most of them on Semitic languages, Part-of-speech tagging, Morphology; often with Allan Ramsay, Hanady Ahmed.

5 papers in our library · 2015–2017

OpenAlex · ORCID · h-index 24 · 76 works · 1,754 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 17 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8745

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

🎓Taif UniversityTa'if · Saudi Arabia2020–2026 · 67 paperscurrent🎓University of ManchesterManchester · United Kingdom2015–2017 · 6 papers🎓King Saud UniversityRiyadh · Saudi Arabia2020–2021 · 2 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 · 5 worksArts and Humanities · 5 worksComputer Science · 5 worksLanguage and Linguistics · 5 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 5 worksPart-of-speech tagging · 3 worksMorphology · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Stemming · 1 work

 Works by year

2010s

20171 paper20162 papers20152 papers

 Papers

The most cited first (OpenAlex and our library).

  1. POS Tagging for Arabic Tweets (2015 · 26 citations)
    The paper asks how well Arabic part-of-speech taggers built for Modern Standard Arabic (MSA) cope with Twitter, where texts are short, informal, often dialectal, and mixed with romanised Arabic, foreign words, hashtags and emoji.
  2. Fast and Robust POS tagger for Arabic Tweets Using Agreement-based Bootstrapping (2016 · 11 citations)
    Arabic POS taggers trained on newswire from the PATB perform poorly on Twitter text. Tweets are short and informal, often in dialect, and full of misspellings, joined words, stretched letters, transliterated English and tokens that exist only on Twitter. The authors collected tweets geolocated to the Arabian…
  3. Arabic Tweets Treebanking and Parsing: A Bootstrapping Approach (2017 · 9 citations)
    No dependency treebank existed for Arabic tweets, and parsers trained on edited text such as PATB handle noisy, dialect-tinged social media poorly.
  4. Unsupervised Stemmer for Arabic Tweets (2016 · 8 citations)
    The paper tackles stemming for Arabic tweets. This text type differs from Modern Standard Arabic (MSA) in vocabulary and syntax and keeps coining new words, so dictionary-based analysers such as BAMA or the Khoja stemmer fit it poorly. The authors also had no labelled data for training a statistical model. Their…
  5. Towards POS Tagging for Arabic Tweets (2015 · 7 citations)
    The paper asks how well part-of-speech taggers built for Modern Standard Arabic (MSA) handle Arabic tweets.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. POS Tagging for Arabic TweetsRecent Advances in Natural Language Processing (RANLP)Fahad Albogamy, Allan Ramsay2015 · 26 citations
  2. Fast and Robust POS tagger for Arabic Tweets Using Agreement-based BootstrappingLanguage Resources and Evaluation Conference (LREC)Fahad Albogamy, Allan Ramsay2016 · 11 citations
  3. Universal Dependencies for Arabic Tweets ↗Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 · no summary yetFahad Albogamy, Allan Ramsay2017 · 10 citations
  4. Arabic Tweets Treebanking and Parsing: A Bootstrapping ApproachArabic Natural Language Processing Workshop (WANLP)Fahad Albogamy, Allan Ramsay, Hanady Ahmed2017 · 9 citations
  5. Unsupervised Stemmer for Arabic TweetsWorkshop on Noisy User-generated TextFahad Albogamy, Allan Ramsay2016 · 8 citations
  6. Towards POS Tagging for Arabic TweetsWorkshop on Noisy User-generated TextFahad Albogamy, Allan Ramasy2015 · 7 citations

 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 17 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

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