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:          <srush@mit.edu>
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