Papers by Marina Björnsdóttir

2 papers
The Copenhagen Corpus of Eye Tracking Recordings from Natural Reading of Danish Texts (2022.lrec-1)

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Challenge: Corpora of eye movements during reading of contextualized running text is a way of making such records available for natural language processing.
Approach: They present CopCo, the first eye tracking corpus of its kind for the Danish language.
Outcome: The Copenhagen corpus of eye tracking recordings from natural reading of Danish texts is the first of its kind for the Danish language.
Reading Does Not Equal Reading: Comparing, Simulating and Exploiting Reading Behavior across Populations (2024.lrec-main)

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Challenge: Existing corpora of eye-tracking-while-reading corporata lack diversity, limiting their ability to include primarily native speakers.
Approach: They expand the eye-tracking-while-reading dataset CopCo by incorporating a new dataset of L2 readers with diverse L1 backgrounds.
Outcome: The extended CopCo corpus comprises neurotypical L1 and L1 readers with dyslexia as well as L2 readers reading the same materials.

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