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A library of Natural Language Processing algorithms for Haskell.

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The `cereal` package seems to have a rather quick release cycle and no breaking changes in minor revisions. Thus, to avoid bumping the version on every release, this pull request...

I have difficulties using `chatter` when I extend it with other POS tags and had to copy the `data Tag .. ` verbatim to my code. The name `tag` is...

Hello, I am trying to use your package... on Windows I get this stack install chatter Error: While constructing the build plan, the following exceptions were encountered: In the dependencies...

``` C:\Users\User\AppData\Local\Temp\stack3168\chatter-0.5.2.1\src\NLP\ML\AvgPerceptron.hs:86:10: error: * No instance for (NFData Class) arising from a use of `Control.DeepSeq.$dmrnf' * In the expression: Control.DeepSeq.$dmrnf In an equation for `rnf': rnf = Control.DeepSeq.$dmrnf In the...

The NLP.Chunk package uses defaultTagger in the documentation and thus should export it.

The benchmark suite and evaluation tools haven't been used in a while, and it would be nice to have both run-time timing results and performance metrics taken as part of...

It would be nice to have visual trees generated from ChunkedSentences, ideally in a way that would work with IHaskell, but just generating PNGs or other open formats would be...

I want to support matching on patterns of strings / POS tags with expressions similar to NLTK's, for example: ``` python grammar = r""" NP: {?*} # chunk determiner/possessive, adjectives...

I need to get a copy of the corpus and run the standard analysis to get comparable tagging results.

This prevented me from building chatter with cabal.