detrospector: Markov chain text generator

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

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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detrospector-0.3.tar.gz [browse] (Cabal source package)
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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	2930 total (14 in the last 30 days)
Rating	(no votes yet) [estimated by Bayesian average]
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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

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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