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A Relevant Study Of The Grammatical Patterns With Dynamic A/D Asymmetry Feature Under The Framework Of Cognitive Grammar

Posted on:2012-08-14Degree:MasterType:Thesis
Country:ChinaCandidate:X Z ChenFull Text:PDF
GTID:2155330335479185Subject:English Language and Literature
Abstract/Summary:PDF Full Text Request
Up to now, the linguistic circles have, from the perspective of semantics, syntax, pragmatics, language acquisition, etc, been concentrating on the grammatical patterns including the"Adjective-Noun"combination, the"Adverb-Noun"combination and the"Adverb-Adjective"combination, which display static autonomous/dependent asymmetry feature, and these studies have already given convictive explanations about these linguistic phenomenon, however, some limitations still linger around: (1) The studies on these linguistic phenomenon are confined to the static view, devoid of a dynamic one; (2) Whatever point to depart from, linguists have brought under discussion the instantiations which are of minority and independency, and these instantiations are furnished, to some extent, with typicality but bereft of interrelatedness. The existence of these restrictions sets obstacle to the persevering exploration of linguistic productivity and creativity, hence, to break down these restrictions may have some significant accelerating impact upon the expatiation and description of languages.The grammatical patterns which display dynamic autonomous/dependent asymmetry are characterized by the adjunction of dependent components and the arrangement of levels of constituency. The"Adjective-Adjective-Noun"combination and the"Adverb-Adjective-Noun"combination have been chosen by this study as two typical grammatical constructions in addition to the"Adjective-and-Adjective-Noun"combination which is quantitatively special. Some linguists have dug into these comparatively complicated linguistic phenomena before, however, little effort has been spared under the framework of Cognitive Grammar, not to speak of their interrelations. This study has attached greater significance to the interrelations of these grammatical patterns, which, therefore, will bestow some practical effects on the symbolization of languages.On such groundwork, this study has collected the research objects according to the depictions of the grammatical patterns with autonomous/dependent asymmetry in Cognitive Grammar. This thesis, based on COCA (the Corpus of Contemporary American English), endeavors to make an empirical study of the distinctive properties of each grammatical pattern and thereafter their interrelations established upon those properties under the theoretical instruction of Cognitive Grammar whose fundamental concepts may hold the balance. The instantiations which are assembled from the appointed corpus stand out as the top 100 usage events in terms of frequency within each grammatical pattern, the contradictory instantiations are eliminated from the list while the ones which tally with the properties obtain permission, and in the process of this manipulation, context appears to be pretty pivotal.This thesis has drawn conclusions that the differences among these grammatical patterns which coincidently subsume three levels of conceptual description lie in the establishment of correspondences between their component structures, and these correspondences have been endued with different degrees of cognitive salience, which results in that the resultant representations of these grammatical patterns are a matter of degree, since two scalar notions are involved: elaboration and salience; moreover, these usage events are, to some extent, entrenched globally by virtue of their higher frequency, and simultaneously their internal structures have been entrenched locally due to their structural complexity, thus, between the instantiations with global entrenchment and those with local entrenchment, there is, of necessity, a relation of inclusion.
Keywords/Search Tags:KeCognitive Grammar, autonomous/dependent asymmetry, grammatical pattern, entrenchment, dynamicity
PDF Full Text Request
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