no code implementations • LREC 2022 • Amalia Todirascu, Rodrigo Wilkens, Eva Rolin, Thomas François, Delphine Bernhard, Núria Gala
Reducing the complexity of texts by applying an Automatic Text Simplification (ATS) system has been sparking interest inthe area of Natural Language Processing (NLP) for several years and a number of methods and evaluation campaigns haveemerged targeting lexical and syntactic transformations.
no code implementations • LREC 2022 • Delphine Bernhard, Pablo Ruiz Fabo
In this work, we present a novel and manually corrected emotion lexicon for the Alsatian dialects, including graphical variants of Alsatian lexical items.
no code implementations • JEPTALNRECITAL 2019 • Aleks Mileti{\'c}, ra, Delphine Bernhard, Myriam Bras, Anne-Laure Ligozat, Marianne Vergez-Couret
Cet article pr{\'e}sente un retour d{'}exp{\'e}rience sur la transformation de corpus annot{\'e}s pour l{'}alsacien et l{'}occitan vers le format CONLL-U d{\'e}fini dans le projet Universal Dependencies.
no code implementations • JEPTALNRECITAL 2019 • Anissa Hamza, Delphine Bernhard
Cet article pr{\'e}sente une m{\'e}thodologie de d{\'e}tection des ellipses en anglais qui repose sur des patrons combinant des informations sur les tokens, leur {\'e}tiquette morphosyntaxique et leur lemme.
no code implementations • 25 Oct 2018 • Ingrid Falk, Delphine Bernhard, Christophe Gérard
In this article we present the design and implementation of the Logoscope, the first tool especially developed to detect new words of the French language, to document them and allow a public access through a web interface.
no code implementations • LREC 2018 • Delphine Bernhard, Anne-Laure Ligozat, Fanny Martin, Myriam Bras, Pierre Magistry, Marianne Vergez-Couret, Lucie Steibl{\'e}, Pascale Erhart, Nabil Hathout, Dominique Huck, Christophe Rey, Philippe Reyn{\'e}s, Sophie Rosset, Jean Sibille, Thomas Lavergne
no code implementations • JEPTALNRECITAL 2017 • Alice Millour, Kar{\"e}n Fort, Delphine Bernhard, Lucie Steibl{\'e}
Nous pr{\'e}sentons ici les r{\'e}sultats d{'}une exp{\'e}rience men{\'e}e sur l{'}annotation en parties du discours d{'}un corpus d{'}une langue r{\'e}gionale encore peu dot{\'e}e, l{'}alsacien, via une plateforme de myriadisation (crowdsourcing) b{\'e}n{\'e}vole d{\'e}velopp{\'e}e sp{\'e}cifiquement {\`a} cette fin : Bisame1 .
no code implementations • COLING 2016 • Amalia Todirascu, Thomas Fran{\c{c}}ois, Delphine Bernhard, N{\'u}ria Gala, Anne-Laure Ligozat
This paper investigates the effectiveness of 65 cohesion-based variables that are commonly used in the literature as predictive features to assess text readability.
no code implementations • JEPTALNRECITAL 2016 • Lucie Steibl{\'e}, Delphine Bernhard
Cet article pr{\'e}sente les m{\'e}thodes mises en {\oe}uvre et les r{\'e}sultats obtenus pour la cr{\'e}ation d{'}un lexique de formes fl{\'e}chies de l{'}alsacien.
no code implementations • JEPTALNRECITAL 2016 • Thomas Francois, Mokhtar B. Billami, N{\'u}ria Gala, Delphine Bernhard
Il est pour cela n{\'e}cessaire de disposer de ressources qui listent des synonymes pour des sens donn{\'e}s et les trient par ordre de difficult{\'e}.
no code implementations • JEPTALNRECITAL 2014 • Ingrid Falk, Delphine Bernhard, Christophe G{\'e}rard
no code implementations • LREC 2014 • Ingrid Falk, Delphine Bernhard, Christophe G{\'e}rard
In this paper we present a statistical machine learning approach to formal neologism detection going some way beyond the use of exclusion lists.