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Chinese Language and Discourse An International and Interdisciplinary Journal
Article . 2015 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Corpus-based Chinese studies

A historical review from the 1920s to the present
Authors: Jiajin Xu;

Corpus-based Chinese studies

Abstract

This article reviews corpus-based Chinese studies, both applied and theoretical, from the 1920s to the present. It will be shown that, while corpus-based Chinese studies have been gaining momentum for only the last couple of decades, the roots of Chinese corpus linguistics go all the way back to the beginning of the 20th century. Today the bulk of corpus-based Chinese studies is oriented toward applied linguistics, with the compilation of frequency character/word lists and interlanguage Chinese studies being the most popular types of research. In addition to applied linguistic studies, this overview also highlights some innovative corpus studies on lexical and grammatical aspects of both classical and modern Chinese, as well as studies of sociolinguistic variation and discourse pragmatics. Overall, important groundwork in Chinese corpus linguistics is acknowledged and future directions are discussed.

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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!
16
Top 10%
Top 10%
Average
hybrid