Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)

An Analysis of the Lexical Characteristics in English Abstracts of Chinese Academic Journal Articles: Take Intelligence Journals Articles as an Example

Authors
Xiaoyu Yao
Corresponding Author
Xiaoyu Yao
Available Online July 2017.
DOI
10.2991/saeme-17.2017.28How to use a DOI?
Keywords
Corpus, lexical characteristics, abstracts, cognition.
Abstract

This paper explores lexical characteristics of abstracts of English research articles (RAs) published in Chinese top academic journals (indexed by CSSCI) through corpus method from the perspectives of lexical complexity, lexical diversity and lexical density. The results showed that Chinese journals abstract had below lexical characteristics: the lexical diversity and lexical density in CAC were lower than EAC, while the lexical complexity of both corpora were similar.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
978-94-6252-364-7
ISSN
2352-5398
DOI
10.2991/saeme-17.2017.28How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoyu Yao
PY  - 2017/07
DA  - 2017/07
TI  - An Analysis of the Lexical Characteristics in English Abstracts of Chinese Academic Journal Articles: Take Intelligence Journals Articles as an Example
BT  - Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)
PB  - Atlantis Press
SP  - 132
EP  - 135
SN  - 2352-5398
UR  - https://doi.org/10.2991/saeme-17.2017.28
DO  - 10.2991/saeme-17.2017.28
ID  - Yao2017/07
ER  -