Christian Fluhr

Also published as: C. Fluhr


2018

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Automatic Identification of Maghreb Dialects Using a Dictionary-Based Approach
Houda Saâdane | Hosni Seffih | Christian Fluhr | Khalid Choukri | Nasredine Semmar
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2017

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Une approche linguistique pour la détection des dialectes arabes (A linguistic approach for the detection of Arabic dialects)
Houda Saâdane | Damien Nouvel | Hosni Seffih | Christian Fluhr
Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Volume 2 - Articles courts

Dans cet article, nous présentons un processus d’identification automatique de l’origine dialectale pour la langue arabe de textes écrits en caractères arabes ou en écriture latine (arabizi). Nous décrivons le processus d’annotation des ressources construites et du système de translittération adopté. Deux approches d’identification de la langue sont comparées : la première est linguistique et exploite des dictionnaires, la seconde est statistique et repose sur des méthodes traditionnelles d’apprentissage automatique (n-grammes). L’évaluation de ces approches montre que la méthode linguistique donne des résultats satisfaisants, sans être dépendante des corpus d’apprentissage.

2007

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Arabic to French Sentence Alignment: Exploration of A Cross-language Information Retrieval Approach
Nasredine Semmar | Christian Fluhr
Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources

2006

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A Deep Linguistic Analysis for Cross-language Information Retrieval
Nasredine Semmar | Meriama Laib | Christian Fluhr
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Cross-language information retrieval consists in providing a query in one language and searching documents in one or different languages. These documents are ordered by the probability of being relevant to the user's request. The highest ranked document is considered to be the most likely relevant document. The LIC2M cross-language information retrieval system is a weighted Boolean search engine based on a deep linguistic analysis of the query and the documents. This system is composed of a linguistic analyzer, a statistic analyzer, a reformulator, a comparator and a search engine. The linguistic analysis processes both documents to be indexed and queries to extract concepts representing their content. This analysis includes a morphological analysis, a part-of-speech tagging and a syntactic analysis. In this paper, we present the deep linguistic analysis used in the LIC2M cross-lingual search engine and we will particularly focus on the impact of the syntactic analysis on the retrieval effectiveness.

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Exploiting text for extracting image processing resources
Gregory Grefenstette | Fathi Debili | Christian Fluhr | Svitlana Zinger
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

Much everyday knowledge about physical aspects of objects does not exist as computer data, though such computer-based knowledge will be needed to communicate with next generation voice-commanded personal robots as well in other applications involving visual scene recognition. The largest attempt at manually creating common-sense knowledge, the CYC project, has not yet produced the information needed for these tasks. A new direction is needed, based on an automated approach to knowledge extraction. In this article we present our project to mine web text to find properties of objects that are not currently stored in computer readable form.

2002

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Building domain specific lexical hierarchies from corpora
Olivier Ferret | Christian Fluhr | Françoise Rousseau-Hans | Jean-Luc Simoni
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2000

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Production of NLP-oriented Bilingual Language Resources from Human-oriented dictionaries
Vera Fluhr-Semenova | Christian Fluhr | Stéphanie Brisson
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

1982

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Methodes D’apprentissage Pour L’analyse Automatique Morphosyntaxique Et Lexicale-Semantique De La Langue Espagnole
A. Andreewsky | M. Desi | C. Fluhr
Coling 1982 Abstracts: Proceedings of the Ninth International Conference on Computational Linguistics Abstracts

1973

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Experience De Constitution D’un Programme D’apprentissage Pour Le Traitement Automatique Du Langage
A. Andreewsky | C. Fluhr
COLING 1973 Volume 2: Computational And Mathematical Linguistics: Proceedings of the International Conference on Computational Linguistics

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Algorithmes De Generation Automatique Experience De Generation Des Phrases Simples Du Francais
A. Andreewsky | C. Fluhr | J. Rambousek
COLING 1973 Volume 2: Computational And Mathematical Linguistics: Proceedings of the International Conference on Computational Linguistics