课题基金 / 基金详情

PHONOLOGICAL PROCESSES IN WORD RECOGNITION

PHONOLOGICAL PROCESSES IN WORD RECOGNITION
单词识别中的语音过程
批准号:
6164885
负责人:
MICKIE D VANHOY
金额:
$3.75万
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
未结题
起止时间:
2000-02-02 至

项目摘要

项目成果

MICKIE D VANHOY的其他基金

相似基金

相关文献

中文摘要
翻译
在此期间,拟进行一系列的十项实验
英文摘要
A series of ten experiments is proposed to be conducted during the training period. These experiments are based on a phenomenon recently discovered by the candidate. The phenomenon involves "feedback inconsistent" words, such as SWEET and TREAT, which share their phonological bodies but differ in their orthographic bodies. The candidate and her doctoral advisor have shown that feedback inconsistent words are harder to recognize (in a lexical decision task) than are feedback consistent words. This phenomenon parallels what the candidate refers to as the traditional "feedforward consistency effect," in which words whose orthographic bodies can be pronounced more than one way (e.g., PINT and MINT) are harder to recognize than words whose orthographic bodies can only be pronounced one way (e.g., GLOBE and PROBE). The recently discovered phenomenon of feedback inconsistency affecting visual word recognition is a striking demonstration of the role of phonology in reading. Moreover, identifying these feedback inconsistent words helps clarify the often tenuous finding of other phonological effects reported in the literature (perhaps attributable to a failure to control for these types of items in previous experiments).
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Pseudohomophones and word recognition.
伪同音词和单词识别。
DOI: 10.3758/bf03196403
发表时间: 2001
期刊: Memory & cognition
影响因子: 2.4
作者: [Vanhoy,M, VanOrden,GC]
通讯作者: VanOrden,GC
PHONOLOGICAL PROCESSES IN WORD RECOGNITION
  • 批准号:
    2883115
  • 项目类别:
  • 资助金额:
    $3.17万
  • 财政年份:
    1999
  • 负责人:
    MICKIE D VANHOY
  • 依托单位:
PHONOLOGICAL PROCESSES IN WORD RECOGNITION
  • 批准号:
    2024828
  • 项目类别:
  • 资助金额:
    $2.43万
  • 财政年份:
    1998
  • 负责人:
    MICKIE D VANHOY
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis