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Studii de gramatică contrastivă
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A COMPARATIVE STUDY OF IMPERSONAL STRUCTURE IN DIFFERENT LANGUAGES

Authors: Xuan Zhao;

A COMPARATIVE STUDY OF IMPERSONAL STRUCTURE IN DIFFERENT LANGUAGES

Abstract

The research aims at providing a comparative study of the impersonal structure (e.g., NGL ^ VG ^ NG structure) by using data from Chinese, English, Hungarian, Burmese and Persian and construing the linguistic phenomenon from the cognitive perspective. A typological approach is used for the cross-linguistic study. Results show that when translating the impersonal structure from Chinese into other four languages, the structure can be best preserved in Hungarian while partially preserved in Burmese and Persian. However, the structure has to be completely changed into passive voice structure in English if we do not add any expletive subject to make the sentence complete. The author concludes that grammatical structure is closely related to speakers’ perception of the world, which might explain the similarities between languages within different families.

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Keywords

Language. Linguistic theory. Comparative grammar, P101-410, impersonal structure, word order, interlinear glossing, case, family, P1-1091, impersonal constructions, word order, Philology. Linguistics, locative constructions

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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