The HeCz corpus: A large, richly annotated reading corpus of newspaper headlines in Czech
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F25%3A10510280" target="_blank" >RIV/00216208:11210/25:10510280 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=r6g.UBSF2A" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=r6g.UBSF2A</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3758/s13428-025-02863-4" target="_blank" >10.3758/s13428-025-02863-4</a>
Alternative languages
Result language
angličtina
Original language name
The HeCz corpus: A large, richly annotated reading corpus of newspaper headlines in Czech
Original language description
Large behavioral datasets that provide detailed data on reading processes are valuable resources for a range of researchers working in linguistics, psychology and cognitive science. This paper presents the HeCz corpus, which comprises self-paced reading data for 1919 newspaper headlines (23,634 words) in Czech, with each headline being accompanied by a yes-no comprehension question, resulting in a rich dataset of reading times for each individual word and comprehension accuracy. The corpus is novel in terms of the sheer scale of data collection, with 1872 native Czech speakers, each reading approximately 120 headlines, with 1162 of those participants also completing the experiment again in a re-testing session using the same stimuli approximately 1 month later. There is participant level meta-data also available relating to basic demographic information, reading habits and a profile of their mood state prior to completing the experiment. Beyond the behavioral and demographic data, we also include a range of linguistic annotations for several variables, e.g., frequency, surprisal, morphological tagging. To better understand how these variables might impact processing, we present exploratory analyses where we predicted the reading times for words, with the results indicating important roles for linguistic, demographic, and methodological variables. Given the range of multidisciplinary applications of the HeCz corpus, we hope that it will provide a valuable and unprecedented resource for a range of research applications related to reading processes.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
<a href="/en/project/GA23-06796S" target="_blank" >GA23-06796S: Cze-Lex: A large-scale quantification of the Czech lexicon</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Behavior Research Methods
ISSN
1554-351X
e-ISSN
1554-3528
Volume of the periodical
57
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
345
UT code for WoS article
001614447500002
EID of the result in the Scopus database
2-s2.0-105021828480