K 10 svn:author V 3 pav K 8 svn:date V 27 2005-03-11T16:00:01.000000Z K 7 svn:log V 704 Bayesian Noise Reduction is a statistical approach to evaluating coherence by instantiating a series of machine-generated contexts to serve as a means of contrast. This makes it possible to identify text that is out of context using a form of pattern consistency checking. BNR attempts to solve the problem commonly referred to as "Bayesian Noise" which, in its simplest definition, refers to irrelevant data present in a message being classified. Bayesian Noise Reduction dubs irrelevant text in order to provide cleaner classification and is implemented as a pre-filter to existing language classification functions. PR: ports/78159 Submitted by: Ion-Mihai "IOnut" Tetcu END