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A package to generate text via Markov chain using sample text

Project description

MarkovText is a simple Python library for reandomly generating strings of text based on sample text. A Markov chain text generator uses the frequency of words following the current state to generate plausible sentences that hopefully are passable as human text. For example, given the input text “Hello, how are you today? You look well.” and a seed of “you”, there is a 50% chance that the next word is either “look” or “today”. The current state may consist of more than just a single word.

MarkovText is written in Python, and requires numpy (though this may be changed in the future).

Main Features

  • Simple API to generate single or multiple sentences.
  • Ability to add to the sample corpus at any time.

Future Needs

  • Remove dependency on numpy
  • Create sentences that are related to each other


The recommended way to install this package is with pip

$ pip install MarkovText

Alternatively you can download and instll it manually (not recommended)

$ git clone
$ cd MarkovText
$ python

Project details

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Files for MarkovText, version 0.1.dev7
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