Artificial intelligence and natural language processing for easy-to-read texts

Saggion, Horacio

Artificial intelligence and natural language processing for easy-to-read texts

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dc.contributor.author Saggion, Horacio
dc.date.accessioned 2025-02-24T07:23:02Z
dc.date.available 2025-02-24T07:23:02Z
dc.date.issued 2024
dc.description.abstract Access to information is a fundamental human right that contributes to freedom of expression and self-determination. However, information availability alone is not enough: the way in which information is expressed and presented on paper or in digital format can be extremely complicated to understand and act upon for a highly diverse set of people with varying ranges of reading, writing and understanding abilities. For a long time, artificial intelligence (AI) and natural language processing (NLP) have dedicated research efforts in the field of automatic text simplification to the development of methods to automate the production of easy-to-read texts. However, in spite of AI hype, the problem persists. Current NLP models such as large language models (LLMs) are still not well understood, and their use in the development of text simplification needs careful assessment. In this paper, having identified the need for easy-to-read, accessible texts, we provide a light overview of current methods in NLP and provide a lay explanation of several techniques applied to lexically and syntactically modified texts to make them simpler to read and understand. We conclude by raising awareness on the use of general tools to address this very challenging problem that can affect contemporary lives.
dc.description.sponsorship We acknowledge funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101132431 (iDEM Project). However, the views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union. We also acknowledge support from the Ministry of Research and Universities of the Generalitat de Catalunya (grants SGR-Cat 2021).
dc.format.mimetype application/pdf
dc.identifier.citation Saggion H. Artificial intelligence and natural language processing for easy-to-read texts. Revista de Llengua i Dret. 2024;82:84-103. DOI: 10.58992/rld.i82.2024.4362
dc.identifier.doi http://dx.doi.org/10.58992/rld.i82.2024.4362
dc.identifier.issn 0212-5056
dc.identifier.uri http://hdl.handle.net/10230/69687
dc.language.iso eng
dc.publisher Generalidad de Cataluña = Generalitat de Catalunya: Escola d'Administració Pública de Catalunya
dc.relation.ispartof Revista de Llengua i Dret. 2024;82:84-103.
dc.relation.projectID info:eu-repo/grantAgreement/EC/HE/101132431
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ca
dc.subject.keyword Easy-to-read
dc.subject.keyword Text simplification
dc.subject.keyword Natural language processing
dc.subject.keyword Lexical simplification
dc.subject.keyword Syntactic simplification
dc.title Artificial intelligence and natural language processing for easy-to-read texts
dc.type info:eu-repo/semantics/article
dc.type.version info:eu-repo/semantics/publishedVersion

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Articles (Departament de Tecnologies de la Informació i les Comunicacions)
Documents OpenAIRE (Open Access Infrastructure for Research in Europe)