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Found 10 papers, 1 papers with code
Extending a Text-to-Pictograph System to French and to Arasaac
We present an adaptation of the Text-to-Picto system, initially designed for Dutch, and extended to English and Spanish.
FrenLyS: A Tool for the Automatic Simplification of French General Language Texts
Lexical simplification (LS) aims at replacing words considered complex in a sentence by simpler equivalents.
Is Attention Explanation? An Introduction to the Debate
In this paper, we provide a clear overview of the insights on the debate by critically confronting works from these different areas.
L’Attention est-elle de l’Explication ? Une Introduction au Débat (Is Attention Explanation ? An Introduction to the Debate )
Nous présentons un résumé en français et un résumé en anglais de l’article Is Attention Explanation ?
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French
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.
MWE for Essay Scoring English as a Foreign Language
Mastering a foreign language like English can bring better opportunities.
Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability
Communication between physician and patients can lead to misunderstandings, especially for disabled people.
FABRA: French Aggregator-Based Readability Assessment toolkit
In this paper, we present the FABRA: readability toolkit based on the aggregation of a large number of readability predictor variables.
A Dictionary-Based Study of Word Sense Difficulty
In this article, we present an exploratory study on perceived word sense difficulty by native and non-native speakers of French.
PADDLe: a Platform to Identify Complex Words for Learners of French as a Foreign Language (FFL)
Annotations of word difficulty by readers provide invaluable insights into lexical complexity.
