Department of Psychology and Neuroscience Center, Brigham Young University, 1062 SWKT, Provo, UT, 84602-5543, USA.
University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Behav Res Methods. 2018 Apr;50(2):826-833. doi: 10.3758/s13428-017-0908-4.
This article presents the Provo Corpus, a corpus of eye-tracking data with accompanying predictability norms. The predictability norms for the Provo Corpus differ from those of other corpora. In addition to traditional cloze scores that estimate the predictability of the full orthographic form of each word, the Provo Corpus also includes measures of the predictability of the morpho-syntactic and semantic information for each word. This makes the Provo Corpus ideal for studying predictive processes in reading. Some analyses using these data have previously been reported elsewhere (Luke & Christianson, 2016). The Provo Corpus is available for download on the Open Science Framework, at https://osf.io/sjefs .
本文介绍了普罗沃语料库，这是一个包含眼动追踪数据和伴随可预测性规范的语料库。普罗沃语料库的可预测性规范与其他语料库不同。除了传统的 cloze 分数，这些分数估计每个单词的完整正字法形式的可预测性之外，普罗沃语料库还包括每个单词的形态句法和语义信息的可预测性的度量。这使得普罗沃语料库成为研究阅读中的预测过程的理想选择。之前在其他地方已经报告了使用这些数据的一些分析（Luke & Christianson，2016）。普罗沃语料库可在开放科学框架上下载，网址为 https://osf.io/sjefs 。
