A fast dynamic compression scheme for natural language texts

  • Authors:
  • Ashutosh Gupta;Suneeta Agarwal

  • Affiliations:
  • Department of Computer Science & Information Technology, Institute of Engineering & Technology, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India;Department of Computer Science & Engineering, Motilal Nehru National Institute of Technology (Deemed University), Allahabad-211002, Uttar Pradesh, India

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2010

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Abstract

We adapted Word-based Tagged Code (WBTC) to obtain its dynamic version. The aim of designing a dynamic version of WBTC is to adapt it for real-time transmission. The problem in the semi-static technique is to perform two passes over the source text, and therefore encoding cannot start before the whole first pass has been completed. For this reason, the semi-static technique is not applied to compress text streams. However, the adaptive or dynamic model does not have this limitation. The dynamic WBTC can be used for real-time transmission where the semi-static version is not suited at all. The experimental results show that the Dynamic WBTC is suitable for compressing text streams by utilizing low bandwidth.