Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers

Gala, Núria; Tack, Anaïs; Javourey - Drevet, Ludivine; François, Thomas; Ziegler, Johannes C.

Document type :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes

Permalink :

http://hdl.handle.net/20.500.12210/74125

Title :

Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers

Author(s) :

Gala, Núria [Auteur]
Laboratoire Parole et Langage [LPL]
Tack, Anaïs [Auteur]
Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur [LIMSI]
Javourey - Drevet, Ludivine [Auteur]

Apprentissage, Didactique, Evaluation, Formation [ADEF]
Apprentissage, Didactique, Evaluation, Formation [ADEF]
François, Thomas [Auteur]
Université Catholique de Louvain = Catholic University of Louvain [UCL]
Ziegler, Johannes C. [Auteur]
Laboratoire de psychologie cognitive [LPC]

Conference title :

Language Resources and Evaluation for Language Technologies (LREC)

City :

Marseille

Country :

France

Start date of the conference :

2020-05-11

English keyword(s) :

Dyslexia
Poor-readers
Misreading
Linguistic complexity
Readability
Text simplification
Parallel corpora

HAL domain(s) :

Sciences de l'Homme et Société/Linguistique

English abstract : [en]

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. The corpus ...
Show more >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. The corpus is composed of excerpts drawn from 79 authentic literary (tales, stories) and scientific (documentary) texts commonly used in French schools for children aged between 7 to 9 years old. The excerpts were manually simplified at the lexical, morpho-syntactic, and discourse levels in order to propose a parallel corpus for reading tests and for the development of automatic text simplification tools. A sample of 21 poor-reading and dyslexic children with an average reading delay of 2.5 years read a portion of the corpus. The transcripts of readings errors were integrated into the corpus with the goal of identifying lexical difficulty in the target population. By means of statistical testing, we provide evidence that the manual simplifications significantly reduced reading errors, highlighting that the words targeted for simplification were not only well-chosen but also substituted with substantially easier alternatives. The entire corpus is available for consultation through a web interface and available on demand for research purposes.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Aide à la LECTure pour améliORer l'accès aux documents pour enfants dyslexiques

Administrative institution(s) :

Université de Lille

Collections :

Autres travaux scientifiques

Submission date :

2022-05-04T15:04:48Z
2022-06-07T13:26:31Z
2022-07-05T09:31:02Z

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Version	Link	Modification date
3	20.500.12210/74125*	2022-07-05T09:29:08Z
2	20.500.12210/74125.2	2022-06-07T13:22:32Z
1	20.500.12210/74125.1	2022-05-04T15:04:48Z

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Alector: A Parallel Corpus of Simplified ...

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