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Héla Fehri

Héla Fehri has 2 papers in our library, in 2012–2018, most of them on Semitic languages, Syntax & grammar formalisms, French; often with Kais Haddar, Laurent Romary.

2 papers in our library · 2012–2018

OpenAlex · h-index 5 · 31 works · 95 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6265

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

🎓University of SfaxSfax · Tunisia2011–2026 · 16 paperscurrent🎓University of GabèsGabès · Tunisia2016–2018 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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 3Research subjects and languages the work is about.Semitic languages · 2 worksSyntax & grammar formalisms · 1 workFrench · 1 work

 Works by year

2010s

20181 paperA Rule-Based System for Disambiguating French Locative Verbs and Their Translation into Arabic20121 paperA prototype for projecting HPSG syntactic lexica towards LMF

 Papers

The most cited first (OpenAlex and our library).

  1. A prototype for projecting HPSG syntactic lexica towards LMF (2012 · 1 citation)
    Arabic lexica written in HPSG are hard to compare or combine. Each one was built for its own task and uses its own feature names, granularity and file format. The authors want to measure the real coverage of these resources and eventually merge them. Their approach is to map each one into a common pivot model that…
  2. A Rule-Based System for Disambiguating French Locative Verbs and Their Translation into Arabic (2018)
    The paper addresses lexical ambiguity in French verbs, focusing on locative verbs, and how resolving it improves verb translation into Arabic.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Recognition and Translation of Arabic Named Entities with NooJ Using a New Representation ModelProceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing · original ↗ · no summary yetHéla Fehri, Kais Haddar, Abdelmajid Ben Hamadou2011 · 21 citations
  2. A New Representation Model for the Automatic Recognition and Translation of Arabic Named Entities with NooJProceedings of the International Conference Recent Advances in Natural Language Processing 2011 · original ↗ · no summary yetHéla Fehri, Kais Haddar, Abdelmajid Ben hamadou2011 · 2 citations
  3. A prototype for projecting HPSG syntactic lexica towards LMFarXiv:1207.5328 · Journal of Language Technology and Computational Linguistics 27, 1 (2012) 21-46Kais Haddar, Hela Fehri, Laurent Romary2012 · 1 citation
  4. A Rule-Based System for Disambiguating French Locative Verbs and Their Translation into ArabicProceedings of the First Workshop on Linguistic Resources for Natural Language ProcessingSafa Boudhina, Héla Fehri2018

 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 5 times (of the 141,840 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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