RT Journal Article
T1 Automated Readability Assessment for Spanish e-Government Information
A1 Morato Lara, Jorge Luis
A1 Iglesias Maqueda, Ana María
A1 Campillo Santiago, Adrián
A1 Sánchez Cuadrado, Sonia
AB This paper automatically evaluates the readability of Spanish e-government websites. Specifically, the websitescollected explain e-government administrative procedures. The evaluation is carried out through the analysis ofdifferent linguistic characteristics that are presumably associated with a better understanding of these resources.To this end, texts from websites outside the government websites have been collected. These texts clarify theprocedures published on the Spanish Government"s websites. These websites constitute the part of the corpusconsidered as the set of easy documents. The rest of the corpus has been completed with counterpart documentsfrom government websites. The text of the documents has been processed, and the difficulty is evaluated throughdifferent classic readability metrics. At a later stage, automatic learning methods are used to apply algorithms topredict the difficulty of the text. The results of the study show that government web pages show high values forcomprehension difficulty. This work proposes a new Spanish-language corpus of official e-government websites.In addition, a large number of combined linguistic attributes are applied, which improve the identification of thelevel of comprehensibility of a text with respect to classic metrics.
PB IADITI
YR 2021
FD 2021-01-01
LK https://hdl.handle.net/10016/37710
UL https://hdl.handle.net/10016/37710
LA eng
NO Work supported by the Spanish Ministry of Economy, Industry and Competitiveness, (CSO2017-86747-R).
DS e-Archivo
RD 18 jul. 2024