# haskseg: Simple unsupervised segmentation model

Implementation of the non-parametric segmentation model described in "Type-based MCMC" (Liang, Jordan, and Klein, 2010) and "A Bayesian framework for word segmentation Exploring the effects of context" (Goldwater, Griffiths, and Johnson, 2009).

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Versions [faq] | 0.1.0.0, 0.1.0.1, 0.1.0.2, 0.1.0.3 |
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Dependencies | ansi-terminal (>=0.8.0.4), array, base (>=4.7 && <5), bytestring (>=0.10.8.1), containers (>=0.5.10.2), exact-combinatorics (>=0.2.0.8), haskseg, logging-effect (>=1.3.2), monad-loops (>=0.4.3), MonadRandom (>=0.5.1.1), mtl (>=2.2.2), optparse-generic (>=1.2.2), random (>=1.1), random-shuffle (>=0.0.4), text (>=1.2.2), vector (>=0.12.0.1), zlib (>=0.6.1) [details] |

License | BSD-3-Clause |

Copyright | 2018 Tom Lippincott |

Author | Tom Lippincott |

Maintainer | tom@cs.jhu.edu |

Category | NLP |

Home page | https://github.com/TomLippincott/haskseg#README.md |

Uploaded | by TomLippincott at 2019-09-26T21:30:02Z |

Distributions | NixOS:0.1.0.3 |

Executables | haskseg |

Downloads | 1343 total (9 in the last 30 days) |

Rating | (no votes yet) [estimated by Bayesian average] |

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Status | Docs available [build log] Last success reported on 2019-09-26 [all 1 reports] |

## Modules

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## Downloads

- haskseg-0.1.0.3.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)