LiFR-Law. Corpus of Paraphrased Czech Administrative Texts with Reading Comprehension for Readability Studies

Title:

LiFR-Law. Corpus of Paraphrased Czech Administrative Texts with Reading Comprehension for Readability Studies

Creator:

Cinková, Silvie, Chromý, Jan, Šamánková, Jana, Hořeňovská, Karolína, Kettnerová, Václava, Kolářová, Veronika, Kubištová, Hana, and Panevová, Jarmila

Contributor:

GAČR@@19-19191S@@Linguistic Factors of Readability in Czech Administrative and Educational Texts@@nationalFunds@@

Publisher:

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Identifier:

http://hdl.handle.net/11234/1-5020

Subject:

readability, legal texts, legal domain, reading comprehension, corpus, and survey

Type:

text and corpus

Description:

LiFR-Law is a corpus of Czech legal and administrative texts with measured reading comprehension and a subjective expert annotation of diverse textual properties based on the Hamburg Comprehensibility Concept (Langer, Schulz von Thun, Tausch, 1974). It has been built as a pilot data set to explore the Linguistic Factors of Readability (hence the LiFR acronym) in Czech administrative and legal texts, modeling their correlation with actually observed reading comprehension. The corpus is comprised of 18 documents in total; that is, six different texts from the legal/administration domain, each in three versions: the original and two paraphrases. Each such document triple shares one reading-comprehension test administered to at least thirty readers of random gender, educational background, and age. The data set also captures basic demographic information about each reader, their familiarity with the topic, and their subjective assessment of the stylistic properties of the given document, roughly corresponding to the key text properties identified by the Hamburg Comprehensibility Concept.

Language:

Czech

Rights:

Creative Commons - Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0/
PUB

Relation:

http://hdl.handle.net/11234/1-5225

Source:

https://ufal.mff.cuni.cz/grants/lifr

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2023-01-01