name: estimators
version: 0.1.4
synopsis: Tool for managing probability estimation
description: This library provides data structures for collecting counts
and estimating distributions from observed data. It is designed for natural language
systems that need to handle large, discrete observation sets and
perform smoothing.
category: Natural Language Processing
license: BSD3
license-file: LICENSE
author: Sasha Rush
maintainer:
build-Type: Simple
cabal-version: >= 1.2
library
ghc-options: -O2
exposed-modules: NLP.Probability.Distribution
NLP.Probability.Observation
NLP.Probability.ConditionalDistribution
NLP.Probability.EM
NLP.Probability.Example.Trigram
NLP.Probability.Chain,
NLP.Probability.SmoothTrie
build-Depends: base >= 3 && < 4,
containers >= 0.1 && < 0.3,
binary,
list-tries,
pretty,
prettyclass,
text,
deepseq,
MonadRandom,
QuickCheck >= 2.0,
mtl