freebsd-ports/devel/libbnr/distinfo

SHA256 (libbnr-2.0.3.tar.gz) = ed602f051b7593cd05244980b0f4a260d17563606050279278893c4e5b46c238
SIZE (libbnr-2.0.3.tar.gz) = 293199
SHA256ify Approved by: krion@ 2006-01-22 09:34:46 +01:00			`SHA256 (libbnr-2.0.3.tar.gz) = ed602f051b7593cd05244980b0f4a260d17563606050279278893c4e5b46c238`
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 <itetcu@people.tecnik93.com> 2005-03-11 17:00:01 +01:00			`SIZE (libbnr-2.0.3.tar.gz) = 293199`