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

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...

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Main Author: Horacio Saggion
Format: Article
Language:Aragonese
Published: Escola d'Administració Pública de Catalunya 2024-12-01
Series:Revista de Llengua i Dret - Journal of Language and Law
Subjects:
Online Access:https://revistes.eapc.gencat.cat/index.php/rld/article/view/4362
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author Horacio Saggion
author_facet Horacio Saggion
author_sort Horacio Saggion
collection DOAJ
description 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.
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institution Kabale University
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record_format Article
series Revista de Llengua i Dret - Journal of Language and Law
spelling doaj-art-6091371d8191465195e6484cc53312b52025-01-13T10:24:36ZargEscola d'Administració Pública de CatalunyaRevista de Llengua i Dret - Journal of Language and Law0212-50562013-14532024-12-018410310.58992/rld.i82.2024.43624052Artificial intelligence and natural language processing for easy-to-read textsHoracio SaggionAccess 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.https://revistes.eapc.gencat.cat/index.php/rld/article/view/4362easy-to-readtext simplificationnatural language processinglexical simplificationsyntactic simplification
spellingShingle Horacio Saggion
Artificial intelligence and natural language processing for easy-to-read texts
Revista de Llengua i Dret - Journal of Language and Law
easy-to-read
text simplification
natural language processing
lexical simplification
syntactic simplification
title Artificial intelligence and natural language processing for easy-to-read texts
title_full Artificial intelligence and natural language processing for easy-to-read texts
title_fullStr Artificial intelligence and natural language processing for easy-to-read texts
title_full_unstemmed Artificial intelligence and natural language processing for easy-to-read texts
title_short Artificial intelligence and natural language processing for easy-to-read texts
title_sort artificial intelligence and natural language processing for easy to read texts
topic easy-to-read
text simplification
natural language processing
lexical simplification
syntactic simplification
url https://revistes.eapc.gencat.cat/index.php/rld/article/view/4362
work_keys_str_mv AT horaciosaggion artificialintelligenceandnaturallanguageprocessingforeasytoreadtexts