Name:                colada
Version:             0.4.3
Synopsis:            Colada implements incremental word class class induction 
                     using online LDA
Description:  Colada implements incremental word class class induction using 
              Latent Dirichlet Allocation (LDA) with an Online Gibbs sampler. 
Homepage:            https://bitbucket.org/gchrupala/colada
License:             BSD3
License-file:        LICENSE
Author:              Grzegorz Chrupała
Maintainer:          pitekus@gmail.com
Category:            Natural Language Processing
Build-type:          Simple
Cabal-version:       >=1.2

Library
  Build-depends: base >= 3 && < 5
               , containers >= 0.4
               , ListZipper >= 1.2
               , fclabels >= 1.1
               , ghc-prim >= 0.2
               , vector >= 0.9
               , split >= 0.1.4
               , text >= 0.11.1
               , monad-atom >= 0.4.1 && < 1
               , cereal >= 0.3.5
               , cmdargs >= 0.9
               , bytestring >= 0.9
               , mtl >= 2.0
               , swift-lda >= 0.4 && <= 0.5
  Exposed-modules:  Colada.WordClass
                  , NLP.CoNLL
  Other-modules: Colada.Features
               , NLP.Symbols
  GHC-options: -O2


Executable colada
  Main-is: colada.hs
  Build-depends: base >= 3 && < 5
               , containers >= 0.4
               , ListZipper >= 1.2
               , fclabels >= 1.1
               , ghc-prim >= 0.2
               , vector >= 0.9
               , split >= 0.1.4
               , text >= 0.11.1
               , monad-atom >= 0.4.1 && < 1
               , cereal >= 0.3.5
               , cmdargs >= 0.9
               , bytestring >= 0.9
               , mtl >= 2.0
               , swift-lda >= 0.4 && <= 0.5
  Other-modules: Colada.WordClass
               , Colada.Features
               , NLP.CoNLL
               , NLP.Symbols
  GHC-options: -O2 -rtsopts