(CEUR Workshop Proceedings, 2022-11) Pistola Grille, Sara
Public administration communicates with citizens through a series of textual genres with specific linguistic characteristics that can be difficult to write. In this context, this PhD thesis proposes to create, annotate and analyse a corpus of textual genres in the field of public administration in order to obtain a model structure with information on the prototypical sections, titles and contents of each textual genre. It will also integrate representative phraseology that can be used to express these contents adapted to plain language. These model structures will be integrated into the arText system, an assisted editor based on Natural Language Processing (NLP) strategies that helps to write administrative texts in plain language. Finally, the automatic system will be used in a didactic proposal that integrates the teaching of Administrative Law, academic writing and the use of Information and Communication Technologies (ICT) in the university context.
