A Corpus-based Study on Language Style and Authorship Identification: Statistical Characteristics of Mo Yan's and Jia Pingwa's Works

DOI

10.2991/isss-17.2017.106How to use a DOI?

Keywords

MO Yan, JIA Pingwa, structural characteristics, style.

Abstract

Since the 1970s, the corpus-based quantitative language research method has been introduced to Chinese stylistic studies. The paper proposes the method that applies statistical analysis of corpus data in language style comparison and authorship identification. The paper discovers 7 language structural characteristics which possess obvious distributional differences through the statistical analysis of 12 language structure characteristics in two sample corpora of 2 million words. This paper, employing quantitative and statistical approaches in authentic materials, brings greater objectivity in stylistic comparison and authorship identification.

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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TY  - CONF
AU  - Xiaoying Wang
AU  - Xiaonan Zhu
PY  - 2017/05
DA  - 2017/05
TI  - A Corpus-based Study on Language Style and Authorship Identification: Statistical Characteristics of Mo Yan's and Jia Pingwa's Works
BT  - Proceedings of 3rd International Symposium on Social Science (ISSS 2017)
PB  - Atlantis Press
SP  - 483
EP  - 486
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-17.2017.106
DO  - 10.2991/isss-17.2017.106
ID  - Wang2017/05
ER  -