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Aspect in Mandarin Chinese

A corpus-based study
Authors: Richard Xiao; Tony McEnery;

Aspect in Mandarin Chinese

Abstract

Chinese, as an aspect language, has played an important role in the development of aspect theory. This book is a systematic and structured exploration of the linguistic devices that Mandarin Chinese employs to express aspectual meanings. The work presented here is the first corpus-based account of aspect in Chinese, encompassing both situation aspect and viewpoint aspect. In using corpus data, the book seeks to achieve a marriage between theory-driven and corpus-based approaches to linguistics. The corpus-based model presented explores aspect at both the semantic and grammatical levels. At the semantic level a two-level model of situation aspect is proposed, which covers both the lexical and sentential levels, thus giving a better account of the compositional nature of situation aspect. At the grammatical level four perfective and four imperfective aspects in Chinese are explored in detail. This exploration corrects many intuition-based misconceptions, and associated misleading conclusions, about aspect in Chinese common in the literature.

Country
United Kingdom
Related Organizations
Keywords

PI Oriental languages and literatures, PE English

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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!
197
Top 1%
Top 1%
Average
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