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dc.creator Hollenstein, Nora
dc.creator Björnsdóttir, Marina
dc.creator Barrett, Maria
dc.date.accessioned 2022-12-06T15:57:27Z
dc.date.available 2022-12-06T15:57:27Z
dc.date.issued 2022
dc.identifier.uri http://hdl.handle.net/20.500.12115/48
dc.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.
dc.language.iso dan
dc.publisher Centre for Language Technology, NorS, University of Copenhagen
dc.relation.isreferencedby https://aclanthology.org/2022.lrec-1.182/
dc.rights Creative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.label PUB
dc.source.uri https://osf.io/ud8s5/
dc.subject reading
dc.subject eye-tracking
dc.subject Danish
dc.subject multimodal corpora
dc.subject psycholinguistics
dc.title CopCo: The Copenhagen Corpus of Eye-Tracking Recordings from Natural Reading
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN-DK
demo.uri https://github.com/norahollenstein/copco-processing
contact.person Nora; Hollenstein; nora.hollenstein@hum.ku.dk; Centre for Language Technology, NorS, University of Copenhagen
sponsor University of Copenhagen; N/A; N/A; Other;
sponsor IT University Copenhagen; N/A; N/A; Other;
size.info 32; texts
size.info 36888; tokens
size.info 1943; sentences
files.size 103939926
files.count 58
annotationInfo.annotationType eye-tracking recordings


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P04.csv
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224ce3775650a2c3512d77b1b9d3cfb2
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P03.csv
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dbd87f147948a49d639f95c99e58c01b
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P02.csv
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P06.csv
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P10.csv
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48985b962520a5af41158231e05918a8
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P09.csv
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df900ab091f629c22b4d284d915c4fd0
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85b739cb404aecf4882e7a40d6f99d8e
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P11.csv
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P13.csv
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P21.csv
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cc25230eceec118acfa6664f2999b040
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P19.csv
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1.37 MB
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87b7f0ae4c058de967492d6d6fd8fbe1
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P17.csv
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1.17 MB
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997b91b1ff34187ad86fc75cef18002e
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P12.csv
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3dc91798e371acf336bec09b61b48c24
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P26.csv
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1.28 MB
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9cd7621965a62f7501c5574448d64669
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P25.csv
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1.35 MB
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be4fb65ab25d3b2b590cde1cd990c45f
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P23.csv
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1.42 MB
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P20.csv
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2.59 MB
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735bc3a3295fe2d083921729264dd73f
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P18.csv
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1.34 MB
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5c5409225f4378f9e2c2502ae375acfa
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P24.csv
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MD5
16c6d30b325795d935cc33a6a8184982
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P29.csv
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2.16 MB
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MD5
3bf1afd4e607b01c36ecd04d799b1550
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P30.csv
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6c268e0b5b9f411388585d20ab0c8f68
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P27.csv
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57b7671c0da06f68667823e69899a6e6
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2.48 MB
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a8d29c3911b07465d0a6be766de88db7
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P35.csv
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P34.csv
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ec4aa3e83ecbae65c8f2a6b41da09754
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P33.csv
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087ba84995bd38c4c7d7ea5a2ccee2ae
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1.86 MB
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MD5
ff91d60a9561b195493fa36088a5ca77
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P38.csv
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8faf12577e0c874290cb321849889a95
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P37.csv
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2.11 MB
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998919d0848d9ef0bb1569311233a2fc
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P45.csv
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P44.csv
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2.67 MB
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50b7dec13d49018b722a92766f91e455
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1672176b5c9da837558828a139052d4e
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1c05a789ec4c9a16ae63263e5367ef20
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69cb6330722f09d83a18a502c9fa57db
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bb06cfa85c81b9c485695a1125fe0fc9
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P43.csv
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P52.csv
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MD5
58b5ac6ebe8c48be7407f18286e0237b
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1 MB
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da25eff85d97b738ca54e98037fa38e4
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P54.csv
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1.32 MB
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MD5
6ad2e832262b9106d523672a9df46651
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P53.csv
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2.21 MB
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26f03b08d84d6150702b2f6857b1ccf6
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P49.csv
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cdb3b590c24115d2a566fd2e85d6b8db
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README.txt
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README
MD5
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# These files contain the extracted word-level eye-tracking metrics of the CopCo corpus. Please check https://osf.io/ud8s5/ for a full version of the data (including the raw data and a Wiki with the feature descriptions). Please also check https://github.com/norahollenstein/copco-processing to find the code used for preprocessing and additional data analysis scripts. Contact: Nora Hollenstein, nora.hollenstein@hum.ku.dk . . .
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caf9c5ced7f1b86c521f12989b5bfe42
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d79e7978b62c94dd482a151de7474497
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P56.csv
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1.79 MB
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MD5
d755b98169c6de01e34124c5e9ad879f
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P55.csv
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2.41 MB
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Extracted features P55
MD5
360d248545a6b0d1ee6986a1fc115df2
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