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

Presenting GECO: An eyetracking corpus of monolingual and bilingual sentence reading
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DOI:
10.3758/s13428-016-0734-0
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发表时间:
2017-04-01
影响因子:
5.4
通讯作者:
Duyck, Wouter
Duyck, Wouter
中科院分区:
心理学2区
文献类型:
--
作者:
Cop, Uschi;Dirix, Nicolas;Duyck, Wouter

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本文介绍了根特眼动语料库GECO,即根特眼动语料库,它是一种单语和双语语料库,用于收集阅读完整小说的参与者的眼动数据。英语单语者和荷兰语-英语双语者阅读整本小说,小说以段落形式呈现在屏幕上。双语者一半用母语阅读小说,另一半用第二语言阅读。在这篇文章中,我们描述了两组参与者最重要的阅读时间测量的分布和描述性统计。这个大型的眼球追踪语料库非常适合探索性目的和更直接的假设检验,它可以指导在有意义的语境中形成关于自然阅读过程的想法和理论。最重要的是,该语料库具有评估单语和双语语言理论和模型在长文本和叙事阅读中的普遍性的潜力。该语料库可在http://expsy.ugent.be/downloads/geco免费获得。
This article introduces GECO, the Ghent Eye-Tracking 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.