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1
Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées
In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03463294 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, Dec 2021, Grenoble, France (2021)
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2
A morph-based and a word-based treebank for Beja
In: SyntaxFest ; https://hal.archives-ouvertes.fr/hal-03494462 ; SyntaxFest, In press (2021)
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3
Analyse orientée corpus d'universaux de Greenberg sur Universal Dependencies
In: Journées LIFT 2021 - Linguistique informatique, formelle et de terrain ; https://hal.inria.fr/hal-03462112 ; Journées LIFT 2021 - Linguistique informatique, formelle et de terrain, GDR LIFT - Linguistique Informatique, Formelle et de Terrain, Dec 2021, Grenoble, France (2021)
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4
Graph Matching and Graph Rewriting: GREW tools for corpus exploration, maintenance and conversion
In: EACL 2021 - 16th conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03177701 ; EACL 2021 - 16th conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kiev/Online, Ukraine ; https://2021.eacl.org/ (2021)
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5
Deep Sequoia corpus - PARSEME-FR corpus - FrSemCor
Abstract: The Sequoia corpus is a set of 3,099 linguistically-annotated French sentences, originating from four sources (Europarl, European Agency Reports, French regional journal L'Est Républicain, and French wikipedia). Several types of annotations were added over the years. The current release comprises: - parts-of-speech (SEQUOIA ANR-08-EMER-013 project) - syntactic dependency trees - deep syntactic dependency graphs (Deep sequoia project) - multi-word expressions and named entities (PARSEME COST project and PARSEME-FR ANR-14-CERA-0001 project) - coarse semantic tags for nouns (FrSemCor project) See the deep sequoia page for a detailed description: https://deep-sequoia.inria.fr/
Keyword: dependency syntax; morpho-syntactic annotations; multiword expressions; named entities; semantic tagging; treebank
URL: http://hdl.handle.net/11234/1-3429
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6
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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7
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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8
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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9
Graph Rewriting for Enhanced Universal Dependencies ...
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10
Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées ...
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11
Convertir le Trésor de la Langue Française en Ontolex-Lemon : un zeste de données liées ...
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