Path: csiph.com!news.swapon.de!fu-berlin.de!uni-berlin.de!not-for-mail From: Ian Kelly Newsgroups: comp.lang.python Subject: Re: Catogorising strings into random versus non-random Date: Mon, 21 Dec 2015 09:49:55 -0700 Lines: 8 Message-ID: References: <56776b9d$0$1615$c3e8da3$5496439d@news.astraweb.com> Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 X-Trace: news.uni-berlin.de vp9CC1OO7I0ZSjjyQnY8LgDMXu5JeYYKkJpjMitFiLIw== Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.005 X-Spam-Evidence: '*H*': 0.99; '*S*': 0.00; 'received:209.85.223': 0.03; 'source.': 0.05; '21,': 0.07; 'trailing': 0.07; 'finite': 0.09; 'subject:into': 0.09; 'received:io': 0.16; 'received:psf.io': 0.16; 'subject:non': 0.16; 'subject:random': 0.16; 'subject:versus': 0.16; 'underscores': 0.16; 'wrote:': 0.16; '2015': 0.20; 'machine': 0.21; 'am,': 0.23; 'dec': 0.23; 'replacing': 0.23; 'header:In-Reply-To:1': 0.24; 'mon,': 0.24; 'message-id:@mail.gmail.com': 0.27; 'transition': 0.27; 'separated': 0.29; "i'd": 0.31; 'received:google.com': 0.35; 'text': 0.35; 'something': 0.35; 'received:209.85': 0.36; 'to:addr :python-list': 0.36; 'subject:: ': 0.37; 'two': 0.37; 'expect': 0.37; 'received:209': 0.38; 'mean': 0.38; 'subject:-': 0.39; 'to:addr:python.org': 0.40; 'some': 0.40; 'your': 0.60; 'score': 0.76; 'smith': 0.76; 'sounds': 0.76; 'matrix.': 0.84; 'to:name:python': 0.84 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :content-type; bh=K0kTy2jE+CjbB7IWDIApcoavP0koxHJFsyrJruCb1VA=; b=rlvzf412Sqd28q0wnajvPPeFpbmaVM/FkKq8/D66eCQDFB+iZSAUCYUlJAoqtWDdX1 DmDuwYk0q0opowBf4n6PQbGnmYFonhxjAvrU/joJMKWfJN7hD82Pb6U15kGG5QaTQyuN a+BvxxABQENvXxrAAuu0glGidpFLAYqKWfDs2eW8x6IQBA7SuNXPitxbLK6RCr8SkMYH 9mmAxjPdpbk6Fi/rt62qiSlK9hYBlPXCuhs0FcBySXBk2UwotFRmxjkkP1paUCQgATcN RG3w8MYJ7zMtNN+aylxP5K8GAFmjb7DTl2bE8Vd0mWVU8CmXn1a6XHGJAjDVMRK2dFEX N1Eg== X-Received: by 10.107.11.68 with SMTP id v65mr19870160ioi.188.1450716634704; Mon, 21 Dec 2015 08:50:34 -0800 (PST) In-Reply-To: X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.20+ Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Xref: csiph.com comp.lang.python:100679 On Mon, Dec 21, 2015 at 9:40 AM, duncan smith wrote: > Finite state machine / transition matrix. Learn from some English text > source. Then process your strings by lower casing, replacing underscores > with spaces, removing trailing numeric characters etc. Base your score > on something like the mean transition probability. I'd expect to see two > pretty well separated groups of scores. Sounds like a case for a Hidden Markov Model.