LEXICAL RETRIEVAL FOR PRODUCTION

用于生产的词汇检索

• 批准号: 6201671
• 负责人: HAROLD GOODGLASS
• 金额: $ 9.52万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-12-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6201671
• 关键词: aphasia; chronic brain damage; clinical research; human subject; language; neural information processing; neuropsychological tests; phonology; semantics; speech; stimulus /response; verbal learning; visual perception

The process of work retrieval is studied in normal and aphasic subjects within the framework of a guiding model, using picture naming as the experimental paradigm. The initial studies use a lexical decision technique to probe for the earliest point at which evidence of phonological and semantic activation can be detected after perception of a pictured object. Our model predicts that phonological activity is concurrent with or even precedes semantic associations. The automaticity of name retrieval is explored in a non-naming situation. The time required for various levels of picture processing, from identity detection through name matching is to be examined by reaction time techniques to test predictions of our model in normals and subgroups of aphasic subjects. The response latencies associated with specified types of aphasic naming errors are to be compared with predictions derived from our model. A modification of the word-onset gating technique is to be used with aphasic and normal subjects to examine the interaction between word-stress and the location of the gated segment as cues to word recognition and word- retrieval. In our preceding work we found that aphasics approach normal competence in completing words on the basis of hearing word onset phonology. In this study we examine the hypothesis that the stressed syllable, regardless of position may serve as the starting point in the activation of word-phonology.

本研究以正常被试和失语被试为被试，研究了工作提取的过程 在指导模型的框架内，使用图片命名作为 实验范式 最初的研究使用词汇判断 技术来探索最早的点，在那里的证据音系 并且语义激活可以在感知图片之后被检测到 object. 我们的模型预测，语音活动是同时进行的， 甚至先于语义关联。 姓名检索的自动性 是在一个非命名的情况下探索的。 各种所需时间 从身份检测到姓名匹配， 是通过反应时间技术来检验我们的预测， 正常人和失语症受试者亚组的模型。 答案lavis 与特定类型的失语症命名错误的相关性进行比较 根据我们的模型进行预测。 字起始选通技术的修改将与 失语症患者和正常被试的词重音之间的相互作用 以及门控片段的位置作为单词识别和单词- 检索 在我们之前的工作中，我们发现失语症患者接近正常 听词起始完成能力 音系学 在这项研究中，我们检验了一个假设，即压力 音节，无论位置如何，都可以作为 激活词音系统。