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Small fixes for README.rst #11

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Small fixes for README.rst #11

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4 changes: 2 additions & 2 deletions README.rst
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Expand Up @@ -3,13 +3,13 @@ Speech and Natural Language Processing
.. image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg
:alt: Awesome
:target: https://github.com/sindresorhus/awesome
A curated list of speech and natural language processing resources. Other lists can be found in this `list <https://github.com/bayandin/awesome-awesomeness>`_. If you want to contribute to this list (please do), send me a pull request. All Sub-caterogires are listed in alphabetical order
A curated list of speech and natural language processing resources. Other lists can be found in this `list <https://github.com/bayandin/awesome-awesomeness>`_. If you want to contribute to this list (please do), send me a pull request. All sub-categories are listed in alphabetical order.

Finite State Toolkits and Regular Expressions
---------------------------------------------
- `AT&T FSM Library <http://www2.research.att.com/~fsmtools/fsm/>`_ The AT&T FSM libraryTM is a set of general-purpose software tools available for Unix, for building, combining, optimizing, and searching weighted finite-state acceptors and transducers.

- `Carmel <https://github.com/graehl/carmel>`_ Finite-state toolkit, EM and Bayesian (Gibbs sampling) training for FST and context-free derivation forests/
- `Carmel <https://github.com/graehl/carmel>`_ Finite-state toolkit, EM and Bayesian (Gibbs sampling) training for FST and context-free derivation forests.

- `Categorial semiring <http://openfst.org/twiki/pub/Contrib/FstContrib/categorial-1.3.3.tar.gz>`_ Categorial semiring as described in `Sproat et al. 2014 <http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00198>`_

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