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联结主义理论下的二语词汇知识深度习得模式的构建论文
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
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