Search Results for author: Delphine Bernhard

Found 19 papers, 0 papers with code

HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French

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.

Lexical Simplification Text Simplification +1

ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays

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.

Emotion Recognition

D\'etection des ellipses dans des corpus de sous-titres en anglais (Ellipsis Detection in English Subtitles Corpora )

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.

The Logoscope: a Semi-Automatic Tool for Detecting and Documenting French New Words

no code implementations25 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.

Vers une solution l\'eg\`ere de production de donn\'ees pour le TAL : cr\'eation d'un tagger de l'alsacien par crowdsourcing b\'en\'evole (Toward a lightweight solution to the language resources bottleneck issue: creating a POS tagger for Alsatian using voluntary crowdsourcing)

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 .

POS

Are Cohesive Features Relevant for Text Readability Evaluation?

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.

From Non Word to New Word: Automatically Identifying Neologisms in French Newspapers

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.

BIG-bench Machine Learning

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