An Automation proposal for the National Index of Simple Language Assessment in Public Services
Abstract
The digitization of services brings public entities closer to citizens and facilitates and optimizes their access to public policies through technology. Plain Language appears as a conductor in this path and a concern with the full understanding by the citizen is necessary. In this paper, we propose the first results of automation of simple language practices defined within the National Guide for Simple Language. The objective is to evaluate the explanation of digital public services and serve as a support mechanism for the inclusion of plain language by Brazilian municipalities.
Keywords:
plain language, citizen language, understanding
References
Cunha, M.A.V.C., and Miranda, P.R.M. (2013). O uso de TIC pelos governos: uma proposta de agenda de pesquisa a partir da produção acadêmica e da prática nacional. In Organizações & Sociedade, 20(66), 543-566.
Glavas, G. and Stajner, S. (2015) “Simplifying Lexical Simplification: Do We Need Simplified Corpora?” In: Proc. 53nd Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL - IJCNLP), p. 63-68, Beijing, China.
Horn, C., Manduca, C. and Kauchak, D. (2014) “Learning a Lexical Simplifier Using Wikipedia”, In: Proc. of 52nd Annual Meeting of the Association for Computational Linguistics (ACL), p. 458-463, Baltimore, Maryland.
Pires, H.F.M. (2021) Impactos da linguagem simples na compreensibilidade da informação em governo eletrônico: o caso de um benefício do INSS, Dissertação de mestrado, Pontifícia Universidade Católica do Rio de Janeiro, Departamento de Artes e Design.
Uchida, S., Takada, S. and Arase, Y. (2018) “CEFR-based Lexical Simplification Dataset”, In: Proc. of the Eleventh International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan.
Zipf, G.K. (1949) “Human Behavior and the Principle of Least Effort”, Addison-Wesley
Glavas, G. and Stajner, S. (2015) “Simplifying Lexical Simplification: Do We Need Simplified Corpora?” In: Proc. 53nd Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL - IJCNLP), p. 63-68, Beijing, China.
Horn, C., Manduca, C. and Kauchak, D. (2014) “Learning a Lexical Simplifier Using Wikipedia”, In: Proc. of 52nd Annual Meeting of the Association for Computational Linguistics (ACL), p. 458-463, Baltimore, Maryland.
Pires, H.F.M. (2021) Impactos da linguagem simples na compreensibilidade da informação em governo eletrônico: o caso de um benefício do INSS, Dissertação de mestrado, Pontifícia Universidade Católica do Rio de Janeiro, Departamento de Artes e Design.
Uchida, S., Takada, S. and Arase, Y. (2018) “CEFR-based Lexical Simplification Dataset”, In: Proc. of the Eleventh International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan.
Zipf, G.K. (1949) “Human Behavior and the Principle of Least Effort”, Addison-Wesley
Published
2023-08-06
How to Cite
RODRIGUES, Adriano Péricles; MARQUES, Gabriel M.; RODRIGUES, Lucas B.; MATTOS, Pedro Augusto A.; NUNES, Vanessa T.; CAPPELLI, Claudia; OLIVEIRA, Rodrigo; MORAES, Rodrigo Michel de.
An Automation proposal for the National Index of Simple Language Assessment in Public Services. In: LATIN AMERICAN SYMPOSIUM ON DIGITAL GOVERNMENT (LASDIGOV), 11. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 106-117.
ISSN 2763-8723.
DOI: https://doi.org/10.5753/wcge.2023.230514.
