Automated Readability Assessment for Spanish e-Government Information Articles uri icon

publication date

  • January 2021

start page

  • 1

end page

  • 8

issue

  • 2

volume

  • 6

Electronic International Standard Serial Number (EISSN)

  • 2468-4376

abstract

  • This paper automatically evaluates the readability of Spanish e-government websites. Specifically, the websites
    collected explain e-government administrative procedures. The evaluation is carried out through the analysis of
    different 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 the
    procedures published on the Spanish Government"s websites. These websites constitute the part of the corpus
    considered as the set of easy documents. The rest of the corpus has been completed with counterpart documents
    from government websites. The text of the documents has been processed, and the difficulty is evaluated through
    different classic readability metrics. At a later stage, automatic learning methods are used to apply algorithms to
    predict the difficulty of the text. The results of the study show that government web pages show high values for
    comprehension 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 the
    level of comprehensibility of a text with respect to classic metrics.

subjects

  • Computer Science

keywords

  • readability; e-government; information; assessment; web pages; accessibility; authoring tools