CopCo: The Copenhagen Corpus of Eye-Tracking Recordings from Natural Reading

  Creators

Hollenstein, Nora; Björnsdóttir, Marina; Barrett, Maria

  Item identifier

http://hdl.handle.net/20.500.12115/48

 Project URL

https://osf.io/ud8s5/

 Demo URL

https://github.com/norahollenstein/copco-processing

 Referenced by

https://aclanthology.org/2022.lrec-1.182/

 Date issued

2022

 Type

corpus

 Size

32 texts, 36888 tokens, 1943 sentences

 Language(s)

Danish

 Description

CopCo is an eye-tracking corpus tailored to both psycholinguistics and natural language processing. The goal is to investigate reading behavior of Danish texts in various populations. To this end, we record eye movements of participants reading continuous Danish texts in their own speed. The CopCo corpus contains eye movement data from Danish native speakers, both from readers without dyslexia and readers with dyslexia. Additionally, there is a set of non-native speaking participants. The data contains one CSV file per participant with the computed eye-tracking metrics for each word. Each file contains the text read by the participant with one line per word. In addition to the words, word IDs, sentence IDs and text IDs, the files contain eye-tracking features for each word, namely, landing position, first fixation duration, first pass duration, go-past time, mean fixation duration, total fixation duration, number of fixations, mean saccade duration and peak saccade velocity. This project has been approved by the Ethics Commission of the Faculty of Humanities of the University of Copenhagen.

 Publisher

Centre for Language Technology, NorS, University of Copenhagen

 Acknowledgement

University of Copenhagen

Project code: N/A

Project name: N/A

 

IT University Copenhagen

Project code: N/A

Project name: N/A

 Subject(s)

reading eye-tracking Danish multimodal corpora psycholinguistics

 Collection(s)

CLARIN-DK-UCPH Repository

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