联结主义理论下的二语词汇知识深度习得模式的构建.pdfVIP

Abstract In the study of L2 vocabulary acquisition, researchers have found that sometimes one cannot use the words accurately and skillfully in real context even if they have memorized a large quantity of words. Hence, the quantity of words remembered is not directly related to the quality of language usage. In recent years, researchers have focused on the dimensions of vocabulary knowledge. They think that vocabulary knowledge is multidimensional rather than unidimensional. That is, vocabulary knowledge covers not only a word’s static aspects such as sound, form, meaning (breadth) but also its dynamic aspects (depth), including word frequency, family relationship, syntactic functions, collocation etc. On such basis, various frameworks of vocabulary knowledge have been built. Though they define vocabulary dimensions differently, they all include the dimensions of depth and breadth in vocabulary, which have been identified as the most basic and core elements in vocabulary knowledge. It has also been pointed out that deep knowledge plays a vital role in vocabulary acquisition, and the two dimensions of depth and breadth should be closely linked in acquisition rather than isolated. Connectionism believes that vocabulary knowledge is not stored and retrieved independently in human brains. Instead, it is stored as units of network and these units are interconnected with weights, which are strengthened by activation of the units continually. Therefore it is believed that a connectionist network corresponds to the biological understandings of the human cerebral neural system. Connectionism is a theory based on neurophysiology, neuropsychology and cognitive psycholog