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Khaled Essam

Khaled Essam has 2 papers in our library, in 2019–2021, most of them on Semitic languages, Machine translation, Morphology; often with Badr AlKhamissi, Hany Hassan, Mohamed Gabr.

2 papers in our library · 2019–2021

OpenAlex · h-index 2 · 4 works · 16 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #8525

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

🎓Acharya Institute of TechnologyBengaluru · India2023 · 1 papercurrent

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.Semitic languages · 2 worksMachine translation · 1 workMorphology · 1 workTokenization & segmentation · 1 work

 Works by year

2020s

20211 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Morphology-aware Word-Segmentation in Dialectal Arabic Adaptation of Neural Machine Translation (2019 · 18 citations)
    Parallel data for translating dialectal Arabic into English is scarce. Systems therefore borrow from the much larger Modern Standard Arabic (MSA) corpora. MSA and the dialects often share word stems but attach different clitics, so the way words are split into pieces affects how much knowledge transfers. The authors…
  2. Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task (2021 · 11 citations)
    The paper addresses fine-grained Arabic dialect identification for the NADI 2021 shared task. Systems must guess where a short tweet comes from, at both country and province level, for dialectal Arabic (DA) and Modern Standard Arabic (MSA). That makes four subtasks, covering 21 countries and 100 provinces. The…

 Co-authors here

4 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 16 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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