Sequential Neural Text Compression

Sequential Neural Text Compression (1996)

by Jürgen Schmidhuber , Stefan Heil

Citations:

18 - 4 self

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Datum	Value	Source
TITLE	Sequential Neural Text Compression	user correction
AUTHOR NAME	Jürgen Schmidhuber	user correction
AUTHOR AFFIL	IDSIA	user correction
AUTHOR ADDR	Corso Elvezia 36, CH-6900-Lugano, Switzerland	user correction
AUTHOR NAME	Stefan Heil	user correction
AUTHOR AFFIL	Fakultat für Informatik, Technische Universität München	user correction
AUTHOR ADDR	80290 München, Germany	user correction
ABSTRACT	The purpose of this paper is to show that neural networks may be promising tools for data compression without loss of information. We combine predictive neural nets and statistical coding techniques to compress text les. We apply our methods to certain short newspaper articles and obtain compression ratios exceeding those of widely used Lempel-Ziv algorithms (which build the basis of the UNIX functions "compress" and "gzip"). The main disadvantage of our methods is that they are about three orders of magnitude slower than standard methods.	user correction
YEAR	1996	user correction
CITATIONS	13 found	ParsCit 1.0