Cognitive systems face a tension between stability and plasticity. The maintenance of long-term representations that reflect the global regularities environment is often at odds with pressure to flexibly adjust short-term input may deviate from norm. This abundantly clear in speech communication when talkers accents or dialects produce deviates listener's language community norms. Prior researc...

We explore a puzzle of visual object categorization: Under normal viewing conditions, you spot something as a dog fastest, but at a glance, you spot it faster as an animal. During speeded category verification, a classic basic-level advantage is commonly observed (Rosch, Mervis, Gray, Johnson, & Boyes-Braem, 1976), with categorization as a dog faster than as an animal (superordinate) or Golden ...

this paper examines the semantic contribution of -?r and -andeh suffixes in persian based on lieber’s (2004) lexical semantic representation. this framework using six semantic features ([material], [dynamic], [location], [ieps] , [b] and [ci] and a principle called coordination principle studies the semantic contribution of lexical items including affixes and their functions in compounding, der...

Studies of supervised Categorization have demonstrated limited Categorization performance in participants with autism spectrum disorders (ASD), however little research has been conducted regarding unsupervised Categorization in this population. This study explored unsupervised Categorization using two stimulus sets that differed in their difficulty of Categorization according to the simplicity ...

A major problem in text categorization is the high dimensionality of feature vector space, which is about ten thousands in common. To reduce the dimensionality of the space while keeping the categorization accuracy is useful for improving categorization effectiveness and applying new categorization algorithms. Current feature selection methods for text categorization are partially effective in ...