Grammar Automatic Checking System for English Abstract of Master’s Thesis

  • Yueting Xu
  • Ziheng Wu
  • Han Huang
  • Tianxiong Yang
  • Pan Yu
  • Erang Lu
Conference paper

DOI: 10.1007/978-981-10-3614-9_61

Part of the Communications in Computer and Information Science book series (CCIS, volume 682)
Cite this paper as:
Xu Y., Wu Z., Huang H., Yang T., Yu P., Lu E. (2016) Grammar Automatic Checking System for English Abstract of Master’s Thesis. In: Gong M., Pan L., Song T., Zhang G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore

Abstract

Although the technology of natural language processing was proposed several years ago, there are few Internet-based systems of English automatic grammar checking which is of help for beginner academic writers. This paper introduces our research results of an automatic grammar checking system for English article abstracts. We proposed four improved basic methods of natural language processing like sentence segmentation, multi-level indexes of words, Penn treebank and increment artificial rules for the system. Experimental results indicate that the proposed system is able to detect more grammar mistakes than other popular similar systems such as 1Checkerm Microsoft word and NonPlus. Furthermore, our system provides free service for Internet users.

Keywords

Article abstracts in English Automatic grammar checking Web-based system Internet studies 

Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  • Yueting Xu
    • 2
  • Ziheng Wu
    • 1
  • Han Huang
    • 1
  • Tianxiong Yang
    • 1
  • Pan Yu
    • 1
  • Erang Lu
    • 1
  1. 1.School of Software EngineeringSouth China University of TechnologyGuangzhouChina
  2. 2.Guangdong University of Foreign StudiesGuangzhouChina

Personalised recommendations