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Python bindings for SFST focusing on transducer usage

A Python library providing bindings for the Stuttgart Finite State Transducersystem with a focus on the usage of compiled and serialized transducers,excluding code for transducer development and testing, which reduces compile andruntime dependencies.

Should you need theSFSTtools for transducergeneration, please take a look at their homepage for installation and usageinstructions.

sfst-transduce is available atPyPI:

pip install sfst-transduce

importsfst_transduce# Create instance from compiled transducertransducer=sfst_transduce.Transducer('path/to/fst.a')# Analysisanalysis_results=transducer.analyse("easier")# Returns ['easy<ADJ><comp>'] for example.# Generate a string. results are a list of analysis.generate_results=transducer.generate("easy<ADJ><comp>")# Returns ['easier'] for example.# Create instance from compiled transducer (compacted serialisation)transducer=sfst_transduce.CompactTransducer('path/to/fst.ca')# Activate output of aligned input and output layertransducer.both_layers=True# Analysistransducer.analyse('easier')# Returns ['easy:i<ADJ>:<><comp>:e<>:r'] for example.

pip install -e.pip install -r requirements-dev.txtpre-commit install

scripts/release$NEW_VERSIONgit push&& git push --tags

TheSFST tools have beenimplemented by Helmut Schmid, Institute for Computational Linguistics,University of Stuttgart, Germany and they are available under the GNU publiclicense version 2 or higher.

Please cite the following publication if you want to refer to the SFST tools:

Schmid, Helmut. "A programming language for finite state transducers." FSMNLP.Vol. 4002. 2005.pdf

This Python library is a fork of the excellentSFSTadaptation by Santhosh Thottingal, changingthe focus of the Python part.