Defence Science Journal
  • Year: 2010
  • Volume: 60
  • Issue: 4

Index of Garbledness for Automatic Recognition of Plain English Texts

  • Author:
  • P.K. Saxena, Pratibha Yadav, Girish Mishra
  • Total Page Count: 5
  • Page Number: 415 to 419

Scientific Analysis Group, Delhi-110 054. E-mail: saxenapk@hotmail.com.

* Email: pratiyadav@yahoo.com. mishrag76@rediffmail.com

Abstract

In this paper, an Index of Garbledness (IG) has been defined for automatic recognition of plain English texts based on linguistic characteristics of English language without using a dictionary. It also works for continuous text without word break-up (text without blank spaces between words). These characteristics, being vague in nature, are suitably represented through fuzzy sets. A fuzzy similarity relation and a fuzzy dissimilarity measure have been used to define this Index. Based on a threshold value of the Index, one can test whether the given text (continuous without word break-up) is a plain English text or not. In case the text under consideration is not a plain text, it also gives an indication to what extent it is garbled.

Keywords

Index of garbledness, automatic recognition, fuzzy sets, fuzzy similarity relation, fuzzy dissimilarity measure, fuzzy pattern recognition, cryptanalysis