Presenting GECO: An eyetracking corpus of monolingual and bilingual sentence reading

Abstract

This article introduces GECO, the Ghent EyeTracking Corpus, a monolingual and bilingual corpus of the eyetracking data of participants reading a complete novel. English monolinguals and Dutch-English bilinguals read an entire novel, which was presented in paragraphs on the screen. The bilinguals read half of the novel in their first language, and the other half in their second language. In this article, we describe the distributions and descriptive statistics of the most important reading time measures for the two groups of participants. This large eyetracking corpus is perfectly suited for both exploratory purposes and more directed hypothesis testing, and it can guide the formulation of ideas and theories about naturalistic reading processes in a meaningful context. Most importantly, this corpus has the potential to evaluate the generalizability of monolingual and bilingual language theories and models to the reading of long texts and narratives. The corpus is freely available at http://expsy.ugent.be/downloads/ geco.Keywords Bilingualism . Reading . Eyetracking . Corpus study Over the years, linguistic data gathered in experimental settings have driven the development of ideas and theories about the cognitive processes involved in language performance. Usually, these experiments are designed to test one or more specific hypotheses and use a meticulously selected and restricted stimulus set, containing one or more, often orthogonal, experimental manipulations. More recently, with the development of larger, and more complex, computational-reading models that operate on multiple processing levels and/or cover a wide range of phenomena (e.g.,

Using Gaze Data to Predict Multiword Expressions

“…We use the GECO corpus (Cop et al, 2016), a monolingual and bilingual corpus of the eyetracking data from participants reading a complete novel. The use of this data allowed comparison between the gaze patterns of native and non-native English speakers, as well as a comparison of the predictive power of data obtained from these two groups.…”

WAYLA - Generating Images from Eye Movements

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Recognition times for 54 thousand Dutch words: Data from the Dutch Crowdsourcing Project

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