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Wael Salloum

Wael Salloum has 5 papers in our library, in 2011–2014, most of them on Semitic languages, Machine translation, English; often with Nizar Habash, Ramy Eskander, Abdelati Hawwari.

5 papers in our library · 2011–2014

OpenAlex · h-index 10 · 21 works · 404 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 137 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4705

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

🎓Columbia UniversityNew York · United States2011–2024 · 9 paperscurrent🎓Baden-Wuerttemberg Cooperative State UniversityStuttgart · Germany2018 · 2 papers🎓University of California, BerkeleyBerkeley · United States2018 · 2 papers🎓George Washington UniversityWashington · United States2014 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksArts and Humanities · 5 worksComputer Science · 5 worksLanguage and Linguistics · 5 worksEducation · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 5 worksMachine translation · 3 worksEnglish · 2 works

 Works by year

2010s

20142 papers20131 paper20121 paper20111 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine Translation (2011 · 127 citations)
    Arabic-English statistical MT performs poorly on dialectal Arabic (DA). Dialects lack standard spelling and parallel data, and they use clitics and affixes that Modern Standard Arabic (MSA) tools do not recognize. Salloum and Habash avoid building a full dialect translator. Instead they rewrite troublesome dialectal…
  2. Dialectal Arabic to English Machine Translation: Pivoting through Modern Standard Arabic (2013 · 68 citations)
    Dialectal Arabic (DA) has no standard spelling and very few tools or parallel corpora. Modern Standard Arabic (MSA), by contrast, is well resourced, so MSA-trained translation systems often treat dialect words as unknown names. Salloum and Habash build ELISSA, a largely rule-based DA-to-MSA translator that serves as…
  3. Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon (2014 · 62 citations)
    Dialectal Arabic (DA), and Egyptian Arabic (EGY) in particular, is common in online text. Most Arabic NLP tools, however, are built for Modern Standard Arabic (MSA) and perform much worse on dialects. DA and MSA differ in phonology, morphology and vocabulary. Many written forms look the same across varieties but mean…
  4. Elissa: A Dialectal to Standard Arabic Machine Translation System (2012 · 48 citations)
    Dialectal Arabic (DA), meaning the spoken and orthographically unstandardized varieties, has very few NLP resources.
  5. The Columbia System in the QALB-2014 Shared Task on Arabic Error Correction (2014 · 34 citations)
    This paper presents Columbia University's entry in QALB-2014, the first shared task on automatic error correction for Modern Standard Arabic.

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. Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine TranslationProceedings of the First Workshop on Algorithms and Resources for Modelling of Dialects and Language VarietiesWael Salloum, Nizar Habash2011 · 127 citations
  2. Dialectal Arabic to English Machine Translation: Pivoting through Modern Standard ArabicConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wael Salloum, Nizar Habash2013 · 68 citations
  3. Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English LexiconLanguage Resources and Evaluation Conference (LREC)Mona Diab, Mohamed Al-Badrashiny, Maryam Aminian, et al.2014 · 62 citations
  4. Elissa: A Dialectal to Standard Arabic Machine Translation SystemInternational Conference on Computational Linguistics (COLING)Wael Salloum, Nizar Habash2012 · 48 citations
  5. The Columbia System in the QALB-2014 Shared Task on Arabic Error CorrectionEMNLP Workshop on Arabic Natural Language Processing (ANLP)Alla Rozovskaya, Nizar Habash, Ramy Eskander, et al.2014 · 34 citations
  6. Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015 ↗arXiv:1606.05759 · no summary yetHassan Sajjad et al.2016 · 5 citations

 Co-authors here

11 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 137 times (of the 149,439 papers whose bibliographies we read); 72 citing papers with a page here →.

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