Self-paced reading and lexical surprisal on Czech legal and press texts
Please use the following text to cite this item or export to a predefined format:
Cinková, Silvie; Kvapilíková, Ivana; Chládková, Kateřina and Černý, Jan, 2026,
Self-paced reading and lexical surprisal on Czech legal and press texts, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL),
http://hdl.handle.net/11234/1-6210.
Authors
Item identifier
Date issued
2026-06-30
Size
2214 tokens,
59 items,
1396 mb
Language(s)
Description
Two text collections, legal and press texts. The texts are tokenized. Each token contains the following information: Self-paced-reading time by approx. 100 experiment participants, Universal-Dependencies morphosyntactic information, and Lexical surprisal values from five language models. The Press as well as the Legal data are divided into a train and a test section. The train section is divided into ten folds obtained by two repetitions of a five-fold resampling procedure.
Acknowledgement
NPO (EC NextGenEU RRF)
Project code:MPO 60273/24/21300/21000
Project name:CEDMO 2.0 NPO
OP JAK
Project code:CZ.02.01.01/00/23_025/0008691
Project name:HumanAId: AI zaměřená na člověka pro udržitelnou a adaptabilní společnost
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- Legal_TRAIN_FOLDSPLITS_ALLDATA.tsv
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- Name
- Legal_test.tsv
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- Name
- PRESS_test.tsv
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- 90c80555c52d79702ae6577978732eed

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- Name
- PRESS_TRAIN_FOLDSPLITS_ALLDATA.tsv
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- 802.18 MB
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- bcea4e544298aa085255ae03194af5bb

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