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AMesure: A Web Platform to Assist the Clear Writing of Administrative Texts
This article presents the AMesure platform, which aims to assist writers of French administrative texts in simplifying their writing.
Text Simplification to Help Individuals with Low Vision Read More Fluently
Reading time was recorded for each target word.
Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers
In this paper, we present a new parallel corpus addressed to researchers, teachers, and speech therapists interested in text simplification as a means of alleviating difficulties in children learning to read.
Combining Expert Knowledge with Frequency Information to Infer CEFR Levels for Words
Traditional approaches to set goals in second language (L2) vocabulary acquisition relied either on word lists that were obtained from large L1 corpora or on collective knowledge and experience of L2 experts, teachers, and examiners.
ReSyf: a French lexicon with ranked synonyms
In this article, we present ReSyf, a lexical resource of monolingual synonyms ranked according to their difficulty to be read and understood by native learners of French.
NT2Lex: A CEFR-Graded Lexical Resource for Dutch as a Foreign Language Linked to Open Dutch WordNet
In this paper, we introduce NT2Lex, a novel lexical resource for Dutch as a foreign language (NT2) which includes frequency distributions of 17, 743 words and expressions attested in expert-written textbook texts and readers graded along the scale of the Common European Framework of Reference (CEFR).
Human and Automated CEFR-based Grading of Short Answers
This paper is concerned with the task of automatically assessing the written proficiency level of non-native (L2) learners of English.
Are Cohesive Features Relevant for Text Readability Evaluation?
This paper investigates the effectiveness of 65 cohesion-based variables that are commonly used in the literature as predictive features to assess text readability.
Mod\`eles adaptatifs pour pr\'edire automatiquement la comp\'etence lexicale d'un apprenant de fran\ccais langue \'etrang\`ere (Adaptive models for automatically predicting the lexical competence of French as a foreign language learners)
Cette {\'e}tude examine l{'}utilisation de m{\'e}thodes d{'}apprentissage incr{\'e}mental supervis{\'e} afin de pr{\'e}dire la comp{\'e}tence lexicale d{'}apprenants de fran{\c{c}}ais langue {\'e}trang{\`e}re (FLE).
Combining Manual and Automatic Prosodic Annotation for Expressive Speech Synthesis
A major issue of existing approaches is that they usually rely on a manual annotation in expressive styles, which tends to be rather subjective.
SVALex: a CEFR-graded Lexical Resource for Swedish Foreign and Second Language Learners
The paper introduces SVALex, a lexical resource primarily aimed at learners and teachers of Swedish as a foreign and second language that describes the distribution of 15, 681 words and expressions across the Common European Framework of Reference (CEFR).
Evaluating Lexical Simplification and Vocabulary Knowledge for Learners of French: Possibilities of Using the FLELex Resource
This study examines two possibilities of using the FLELex graded lexicon for the automated assessment of text complexity in French as a foreign language learning.
Multiple Choice Question Corpus Analysis for Distractor Characterization
In this paper, we present a study of MCQ aiming to define criteria in order to automatically select distractors.
FLELex: a graded lexical resource for French foreign learners
In this paper we present FLELex, the first graded lexicon for French as a foreign language (FFL) that reports word frequencies by difficulty level (according to the CEFR scale).
