detrospector: Markov chain text generator
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.
-? 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.
|Versions [RSS] [faq]||0.1, 0.2, 0.3|
|Dependencies||base (>=3 && <5), binary (>=0.5), bytestring (>=0.9), cmdargs (>=0.6), containers (>=0.3), hashable (>=1.0), hashmap (>=1.1), mwc-random (>=0.8), text (>=0.8), zlib (>=0.5) [details]|
|Author||Keegan McAllister <firstname.lastname@example.org>|
|Maintainer||Keegan McAllister <email@example.com>|
|Category||Text, Natural Language Processing|
|Uploaded||by KeeganMcAllister at 2010-09-19T06:45:16Z|
|Downloads||2558 total (11 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
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