Cues to grammatical relations: A cross-linguistic look

语法关系的线索：跨语言的视角

• 批准号: 6648041
• 负责人: KAREN N MIMS
• 金额: $ 2.98万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-30 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6648041
• 关键词: adult human (21+); behavioral /social science research tag; brain; clinical research; comprehension; cues; human subject; language; predoctoral investigator; psycholinguistics; psychological tests; visual tracking; vocabulary; voice

DESCRIPTION (provided by applicant): Aims of this research include furthering our understanding of how language is comprehended in the normal human brain. This project aims to make a closer investigation of the interaction of these linguistic cues, in English and Russian adults. The predictive value of several comprehension cues, including discourse status (whether a referent has been mentioned before), voice (the verb's relation to the referents), and word order (whether the subject or object comes before the verb), will be explored, using an eye-tracking paradigm. Experiments will all have a crossed factor design, with discourse status and either voice (English) or word order (Russian) as factors. Participants will view pictures on a computer screen while listening to prerecorded sentences, and will choose the picture that matches the sentence using a computer mouse. Participants will be eye-tracked, allowing for a fine-grained analysis of what referents they are considering at any given time (every 60th of a second) over the course of the sentence. Reaction time (how long participants take to make a mouse click) and accuracy (whether participants click on the correct Picture) will also be analyzed.

描述（由申请人提供）：这项研究的目的包括进一步了解语言是如何理解正常人脑的。该项目旨在对这些语言线索在英语和俄语成年人中的相互作用进行更深入的调查。几个理解线索的预测价值，包括话语状态（是否已被提及的指称），语音（动词的关系的指称），和词序（无论是主语或宾语之前的动词），将探索，使用眼动跟踪范式。实验都将有一个交叉因素的设计，与话语状态和语音（英语）或词序（俄语）的因素。参与者将在电脑屏幕上观看图片，同时听预先录制的句子，并使用电脑鼠标选择与句子匹配的图片。参与者将被眼动追踪，允许在句子过程中的任何给定时间（每60秒）对他们正在考虑的指称进行细粒度分析。反应时间（参与者点击鼠标需要多长时间）和准确性（参与者是否点击正确的图片）也将被分析。