Intelligent Reading Improvement System for Fundamental and Transversal Skills Development

Projektinformationen

iRead4Skills

ID Finanzhilfevereinbarung: 101094837

DOI

10.3030/101094837

EK-Unterschriftsdatum 15 Dezember 2022

Startdatum 1 März 2023

Enddatum 28 Februar 2026

Finanziert unter

• Culture, creativity and inclusive society

Gesamtkosten

€ 2 699 585,25

EU-Beitrag

€ 2 699 585,00

Koordiniert durch

UNIVERSIDADE NOVA DE LISBOA
Portugal

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Leistungen

Documents, reports (8)

Policy brief 1

First short report providing an informative overview on the project activities and results related to policy definition.

Annotation schema

Project report on the task, method, requirements, sampling criteria, representativeness and metadata.

Reading skills survey

New survey (questionnaire & results) on the needs of trainers and adult learners with low literacy skills, related to reading skills improvement.

Literature review & report

Report on the literature review and data, able to be disseminated to policy makers.

+Easy and +Clear complexity levels

Framework

Overall skills and gaps survey

Preliminary survey (questionnaire & results) on the relation between skills needs and gaps and reading skills, able to be disseminated to policy makers.

Annotation manual

| Intuitive guidelines for non-specialist annotation.

Baselines for complexity lexicons definition

Methods and features for defining lexical complexity and sets of basic vocabularies.

Data sets, microdata, etc (2)

Data set 1: corpora by level of complexity for FR, PT and SP

Collection of written texts of several genres and levels of complexity in txt/xml format.

Basic lexicons per complexity levels

Vocabulary for the three languages FR, PT and SP.

Websites, patent fillings, videos etc. (1)

Project website

iRead4Skills project website and associated contents.

Veröffentlichungen

Conference proceedings (2)

Automatic Text Readability Assessment in European Portuguese

Autoren: Ribeiro, E., Mamede, N., & Baptista, J.
Veröffentlicht in: Proceedings of the 16th International Conference on Computational Processing of Portuguese, Ausgabe 16, 2024
Herausgeber: PROPOR 2024

Text Readability Assessment in European Portuguese: A Comparison of Classification and Regression Approaches

Autoren: Ribeiro, E., Mamede, N., & Baptista, J.
Veröffentlicht in: Proceedings of the 16th International Conference on Computational Processing of Portuguese, Ausgabe 16, 2024
Herausgeber: PROPOR 2024