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Joseph Dichy

Joseph Dichy has 2 papers in our library, in 2003–2004, most of them on Semitic languages, Machine translation, Multilingual & cross-lingual NLP; often with Ali Farghaly, Ramzi Abbès.

2 papers in our library · 2003–2004

OpenAlex · h-index 8 · 95 works · 168 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 7 times in our library · ⭐ Paper Stars ranking: #8316

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

🔬Interactions, Corpus, Apprentissages, ReprésentationsLyon · France1993–2019 · 38 papers🎓Université Lumière Lyon 2Lyon · France1993–2017 · 11 papers🎓École Normale Supérieure de LyonLyon · France2006–2013 · 7 papers🔬Centre National de la Recherche ScientifiqueParis · France2007 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 3Research subjects and languages the work is about.Semitic languages · 2 worksMachine translation · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2000s

20041 paper20031 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Architecture of a Standard Arabic Lexical Database. Some Figures, Ratios and Categories from the DIINAR.1 Source Program (2004 · 33 citations)
    The paper tackles a gap in Arabic language resources: there were no agreed criteria for judging whether a Standard Arabic lexical database is complete and consistent.
  2. Roots & patterns vs. stems plus grammar-lexis specifications: on what basis should a multilingual database centred on Arabic be built? (2003 · 1 citation)
    The authors argue that a multilingual lexical database for Arabic machine translation should be stem-based: each entry is an actual lexeme with grammar-lexis specifications, such as the kinds of complement a verb takes, rather than a root-and-pattern database that generates stems.

 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 7 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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