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Filologičeskie nauki Voprosy teorii i praktiki
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Structural Classification of Topic Sentences in Chinese of Different Periods

Структурная классификация топиковых предложений на китайском языке различных периодов
Authors: Arseny Vladimirovich Skvortsov;

Structural Classification of Topic Sentences in Chinese of Different Periods

Abstract

The study aims to develop a comparative classification of topic sentences in early classical Archaic Chinese (the V-III centuries BC), late Literary Chinese (the late XVII - the early XVIII century) and modern Chinese. Scientific novelty of the study is accounted for by the fact that the classification of topic sentences is created based on the material of not one, but three different periods in the development of the Chinese language. As a result of the study, the researcher has proved that topicalisation mechanisms are common to sentences in Chinese belonging to different periods and also has shown that it is impossible to analyse Chinese sentences by topic components. The terms “topic - commentary” should be used in the process of analysing the presence (absence) of a direct semantic link between the subject group and the predicate core. These terms are absolutely not applicable for syntactic analysis.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
1
Average
Average
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