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detrospector: Markov chain text generator

[ bsd3, natural-language-processing, program, text ] [ Propose Tags ]

The detrospector program generates random text conforming to the general style and diction of a given source document. It associates each k-character substring of the source document with a probability distribution for the next character. These distributions are used to iteratively pick new characters for output. In other words, it samples a Markov chain derived from the source document.

Run detrospector -? for usage information. The program has several modes. It can generate random text, or invent individual random words which are not found in a dictionary. These modes require a chain file, which is built from a source document in another mode.

Design goals include speed and full Unicode support. I welcome suggestions and patches regarding any aspect of this program.

New in version 0.3:

  • Compatible with hashable 1.2

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Versions [RSS] 0.1, 0.2, 0.3
Dependencies base (>=3 && <5), binary (>=0.5), bytestring (>=0.9), cmdargs (>=0.6), containers (>=0.3), hashable (>=1.2), mwc-random (>=0.8), text (>=0.8), unordered-containers (>=0.1), zlib (>=0.5) [details]
License BSD-3-Clause
Author Keegan McAllister <mcallister.keegan@gmail.com>
Maintainer Keegan McAllister <mcallister.keegan@gmail.com>
Category Text, Natural Language Processing
Source repo head: git clone git://github.com/kmcallister/detrospector.git
Uploaded by KeeganMcAllister at 2013-04-08T01:58:55Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Executables detrospector
Downloads 2846 total (12 in the last 30 days)
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Status Docs not available [build log]
Last success reported on 2016-11-11 [all 8 reports]

Readme for detrospector-0.3

[back to package description] 
detrospector is a Markov chain text generator.

See detrospector.cabal for more information, as well as

  http://hackage.haskell.org/package/detrospector
  http://mainisusuallyafunction.blogspot.com/2010/10/tour-of-real-toy-haskell-program-part-1.html