Access of semantic knowledge during speech perception

描述（由申请人提供）：大多数理解言语感知的机制和过程的努力都没有研究在言语感知期间如何访问语义知识。拟议的研究旨在调查如何使用行为和眼动跟踪方法在口语单词理解过程中访问的意义，并开发一个机械的言语感知理论，包括激活的语义表征。建议的行为实验测试的影响，语义邻域密度的单词识别和比较罕见的和频繁的语义特征在确定语义相似性的重要性。拟议的眼动跟踪实验提供了细粒度的收敛数据，将进一步阐明如何从口语输入语义知识的访问。一个拟议的计算模型将整合语音处理中的语义知识，以解释行为和眼动跟踪结果，并作出新的预测。

DESCRIPTION (provided by applicant): Most efforts to understand the mechanisms and processes underlying speech perception have not examined how semantic knowledge is accessed during speech perception. The proposed research aims to investigate how meaning is accessed during spoken word comprehension using behavioral and eye-tracking methods and to develop a mechanistic theory of speech perception that incorporates activation of semantic representations. Proposed behavioral experiments test the effect of semantic neighborhood density on word recognition and compare the importance of rare and frequent semantic features in determining semantic similarity. Proposed eye tracking experiments provide fine-grained convergent data that will further elucidate how semantic knowledge is accessed from spoken input. A proposed computational model will integrate semantic knowledge in speech processing to account for the behavioral and eye tracking results and to make novel predictions.