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Chinese Compound Word Sense Word Formation Study

Posted on:2004-05-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y ZhuFull Text:PDF
GTID:1115360092997386Subject:Chinese Philology
Abstract/Summary:PDF Full Text Request
For the former study of Word-formation, there are two ways to investigate the relationships between the morphemes. One concerns the syntactic relations, and the other semantic relations. It seems that they are completely conflict, but in fact they share one common ground, of which the observing and analyzing measures are limited on the surface of language, and can not describe and explain the complicated semantic relations between the morphemes distinctly. So, we begin from the deep meanings of compound words, search the reasons on the cognitive background that the semantic relations of the morphemes are complecated, try to describe and explain a series of semantic processes of composing compound words, and finally find out the semantic rules, that is to say, we shall survey the questions of Word-formation on the base of pure semantics.This dissertation is consists of seven chapters. The first chapter concerns the former studying status and the start point of ourselves, and the second chapter is mainly about our foundations of theories and methods. Aiming at the deep meanings of compound words, we analyze the predicative structures in the third chapter, which is followed by the complication of their semantic frames in the forth chapter. We shall discuss the model compression of each semantic frame in the fifth and sixth chapter. After all these analysis, we sum the conclusions of Semantic Word-formation, and advance our opinions about the distinctions between Chinese compound words and phrases in Chapter Seven. We insist that the compound word is the interface between lexicon and syntax, so what the most we want to do is explore the semantic word forming mechanisms of compound words, ordering that somewhat it can contribute to the communication between the study of lexicon and syntax.We consider that the structure of the compound word and syntax are coherent in the deep semantic layer, both of them origin from the same cognitive scene, and their semantic structures can be traced back to the same cognitive frame. What made them different on the formal surface structure is that the restricts are different when their deep meanings reflect to the surface structure. From this point of view, some breakthroughs of this dissertation are as below:First of all, our theory foundation is mainly correlative to the cognitive linguistics, such as the Case Grammar, frame theory, figure/ground theory, and target/reference theory; it is no doubt that people can also find some kinds of theories about psychology are adopted in the dissertation as our experimental basic, mainly the network model theory about knowledge structure.Secondly, we adopt the predicative analysis to describe the deep semantic structures of compound words, and formalization to denote the words' semantic frames. We also use the quantity statistics to search the rules which can be embodied definitely by quantity in a relatively close range of corpus.To sum up, we believe that the creativities of this dissertation lie not only in the foundations of making our points, but also in the processes of demonstration. But it is no doubt that we encounter many difficulties, such as the new questions caused by the new analyzing position and methods, numerous words with the unclear interior form, the confine of author's knowledge, and so on. Consequently, we admit that there would be some deficiencies which require more endeavor: (1) the facticity of the semantic structure analysis would be possibly influenced by the lack of interior form of some compound words in their historic development, and (2) the conclusions, which are drown from the immature cognitive linguistics, still need to be validated by the cognitive psychology.
Keywords/Search Tags:semantic structure, predicate, frame, profile, figure, ground, target, reference, complication, model compression
PDF Full Text Request
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