A Corpus-Based Genre and Language Feature Analysis of Chinese and English Linguistics and Literature Article Abstracts

摘要

The development of computer technology has led the language research into a new age. In this research we take advantage of the corpus-driven approach to illustrate the differences and similarities in the generic structural potential (GSP) and the language features of Chinese and English article abstracts by building our own corpora of article abstracts and using AntConc. Results show that both the GSP and the language features have their own Chinese and English characteristics. This research will help Chinese writers know how to write an article abstract and lays a ground for those who will publish their works in the high-quality magazines and even in the foreign ones.