(r61) Pynini < GRM

GRM Web>Pynini (revision 61) (raw view)~~EditAttach~~
---+ OpenGrm Pynini: Finite-state grammar development in Python
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%ICON{led-red}% *Version 2.1.3 is now available for [[PyniniDownload][download]].*
<br />%ICON{new}% Pynini is now available on [[https://conda-forge.org/][conda-forge]]. Linux (x86) and Mac OS X users who already have [[https://docs.conda.io/en/latest/][Conda]] can install Pynini and all dependencies using the following command: =conda install -c conda-forge pynini=.
<br />%ICON{strategy}% When using Pynini from a [[https://jupyter.org/][Jupyter]] or [[https://colab.research.google.com/][Colab]] notebook, logging and error messages sent to STDERR are lost. To recover them, install [[https://pypi.org/project/wurlitzer/][ =wurlitzer= ]] and then add the following to the top of your notebook: =%load_ext wurlitzer=
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_OpenGrm_ _Pynini_, like [[Thrax]], compiles grammars expressed as strings, regular expressions, and context-dependent rewrite rules into weighted finite-state transducers. It uses the [[http://www.openfst.org][OpenFst library]] and its [[http://www.python.openfst.org][Python extension]] to create, access and manipulate compiled grammars. Pynini is embedded in a [[https://www.python.org][Python]] module, allowing users to write Thrax-like grammars using Python's flexible syntax (including imperative programming constructs not available in Thrax) and powerful toolchain, including an [[http://ipython.org][interactive development]] ("REPL") environment.

It is (loosely) named after [[https://en.wikipedia.org/wiki/PÄ\x81á¹‡ini][P&#x101;&#x1E47;ini]] (&#x92A;&#x93E;&#x923;&#x93F;&#x928;&#x93F;), the renowned Sanskrit grammarian.

   * [[PyniniDownload][Download]]
   * [[PyniniDocs][Documentation]]
   * C++ API documentation (for advanced users):
      * [[PyniniOptimizeDoc][Optimization]]
      * [[PyniniPathsDoc][Path iteration]]
      * [[PyniniOperatorsDoc][Specialty operators]]
      * [[PyniniStringDoc][String (de)compilation]]

For more information about Pynini, see:

   * K. Gorman. 2016. [[https://www.aclweb.org/anthology/W16-2409][Pynini: A Python library for weighted finite-state grammar compilation]]. In _Proceedings of the ACL Workshop on Statistical NLP and Weighted Automata_, pages 75-80. Berlin: Association for Computational Linguistics.
   * K. Gorman & R. Sproat. [[https://www.oreilly.com/ideas/how-to-get-superior-text-processing-in-python-with-pynini][How to get superior text processing in Python with Pynini]]. O'Reilly Ideas blog, accessed 11/16/16.

Other third-party information:

   * [[https://stackoverflow.com/questions/57898360/how-can-i-install-and-use-pynini-on-windows-10][Installing Pynini on Windows 10]]
Topic revision: r61 - 2020-11-19 - KyleGorman