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On The Cognitive Comprehension Of Omission

Posted on:2006-11-14Degree:MasterType:Thesis
Country:ChinaCandidate:B HanFull Text:PDF
GTID:2155360152481539Subject:English Language and Literature
Abstract/Summary:PDF Full Text Request
In recent years, with the development of cognitive science and neurology, humanbeings have started the study on the mechanism of their own brain. The study of thecomprehension of natural language is a possible breakthrough to manifest themechanism of human brain. Consequently, many scholars and academic schools havetried to reveal the inner psychological mechanism of the comprehension of naturallanguage and have made a great achievement in this kind of study. This thesis alsotries to study the problem of the comprehension of natural language, but in respect ofthe cognitive comprehension of omission in human linguistic communication.Omission is a linguistic phenomenon existing broadly in human natural language.It plays an important role in linguistic communication. Human beings noticedomission quite a long time ago and have made a rather profound study of its structureand functions from the point of views of syntax and pragmatics. But this thesis tries toanalyze the comprehension of omission in the framework of cognitive context, i.e.,the psychological mechanism of the comprehension of omission.First, based on former scholars'research and classifications, the thesis classifiesomissions into five categories. Then, a neural network model of human brain'slearning and comprehension of omission will be discussed on the bases of neurologyand cognitive science. Meanwhile, this thesis also tries to construct an integratedinference model of the comprehension of omission by adopting the theories ofrelevance and the approaches of cognitive sciences.The study of cognitive comprehension of omission will not only help humanbeings to further understand the process of the comprehension of natural languagesbut also have important implications on artificial intelligence such as thecommunication between computers and human beings.
Keywords/Search Tags:omission, cognitive context, relevance, neural network, weight
PDF Full Text Request
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