Search Results for author: N{\'u}ria Gala

Found 14 papers, 0 papers with code

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

no code implementations LREC 2020 N{\'u}ria Gala, Ana{\"\i}s Tack, Ludivine Javourey-Drevet, Thomas Fran{\c{c}}ois, Johannes C. Ziegler

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.

Text Simplification

The Nisvai Corpus of Oral Narrative Practices from Malekula (Vanuatu) and its Associated Language Resources

no code implementations LREC 2020 Jocelyn Aznar, N{\'u}ria Gala

In this paper, we present a corpus of oral narratives from the Nisvai linguistic community and four associated language resources.

Identifying Abstract and Concrete Words in French to Better Address Reading Difficulties

no code implementations LREC 2020 Daria Goriachun, N{\'u}ria Gala

Literature in psycholinguistics and neurosciences has showed that abstract and concrete concepts are perceived differently by our brain, and that the abstractness of a word can cause difficulties in reading.

Text Simplification

ReSyf: a French lexicon with ranked synonyms

no code implementations COLING 2018 Mokhtar B. Billami, Thomas Fran{\c{c}}ois, N{\'u}ria Gala

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.

Lexical Simplification Part-Of-Speech Tagging +1

Reducing lexical complexity as a tool to increase text accessibility for children with dyslexia

no code implementations WS 2016 N{\'u}ria Gala, Johannes Ziegler

Lexical complexity plays a central role in readability, particularly for dyslexic children and poor readers because of their slow and laborious decoding and word recognition skills.

Reading Comprehension Text Simplification

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.

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