Click on bake to get cookies: guiding word-finding with semantic associations
Click on bake to get cookies: guiding word-finding with semantic associations
复制标题
点击“烘焙”获取cookies：通过语义关联指导找词
DOI：
--
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
P. Cook
中科院分区：
文献类型：
--
作者：
Sonya S. Nikolova;M. Tremaine;P. Cook
浏览由数千个条目组成的字典以选择用于建立通信的适当单词是具有挑战性的。这对于那些患有词汇通达障碍的人来说尤其如此，比如失语症。我们通过构建一个词汇网络，使词汇导航和单词查找更容易，其中单词之间的链接反映了人类对语义相关性的判断。我们报告的结果与失语症患者的用户研究，评估我们的系统（称为ViVA）执行相比，广泛使用的词汇访问系统中的单词被组织成层次的共同类别和子类别。结果表明，词检索是显着更好的ViVA，但找到第一个字开始通信仍然是个问题，需要进一步调查。
It is challenging to navigate a dictionary consisting of thousands of entries in order to select appropriate words for building communication. This is particularly true for people with lexical access disorders like those present in aphasia. We make vocabulary navigation and word-finding easier by building a vocabulary network where links between words reflect human judgments of semantic relatedness. We report the results from a user study with people with aphasia that evaluated how our system (called ViVA) performs compared to a widely used vocabulary access system in which words are organized hierarchically into common categories and subcategories. The results indicate that word retrieval is significantly better with ViVA, but finding the first word to start a communication is still problematic and requires further investigation.