Grosslanguage validation of computational models of eye-movement control of reading with extensions to oral reading and reading-span tasks

该项目是ECRP实施共同和地方研究目标的建议的一部分。共同的研究目标是建立一个跨语言语料库的眼动和固定使用一个共同的协议，包括简单的阅读材料约1000字，从最少50个读者与规范可用的词频和词的预测从句子上下文。合作项目实现了这样一个数据库的英语，法语和德语。这些数据将用于阅读期间眼动控制的三个完全实现的计算模型（E-Z Reader、Split- Fovea-LATER、SWIFT）的跨语言评价。在第二阶段，将利用这些数据对模型进行系统评价。本地研究目标是在复杂的阅读条件下（即，在口头阅读期间和在阅读广度任务期间）以增加第二遍阅读中的注视百分比（即，在回归到句子的先前固定部分之后的固定）。除了在如此复杂的阅读任务中获得急需的眼动统计信息外，这些数据还将使我们能够扩展SWIFT模型，以解释与口头阅读过程中的眼声跨度相关的影响以及与工作记忆负荷相关的影响。

This project is part of an ECRP proposal implementing common and local research goals. The common research goal is to establish a crosslanguage corpus of eye movements and fixations using a common protocol consisting of easy reading material of about 1000 words from a minimum of 50 readers with norms available for word frequency and word predictability from sentence context. The collaborative project realizes such a data base for the English, French, and German language. These data will be used for the crosslanguage evaluation of three fully implemented computational models of eye-movement control during reading (E-Z Reader, Split- Fovea-LATER, SWIFT). In a second phase these data will allow for systematic model evaluations. The local research goal is to collect eye movements for this data base under complex reading conditions (i.e., during oral reading and during reading-span tasks) to increase the percentage of fixations in second-pass reading (i.e., fixations after regressions to previously fixated parts of sentences). Aside from yielding badly needed information about eye-movement statistics in such complex reading tasks, these data will allow us to extend the SWIFT model to account for effects related to the eye-voice span during oral reading and for effects related to working-memory load.