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This paper introduces mFST, a new Python library for working withFinite-State Machines based on OpenFST. mFST is a thin wrapper for OpenFST andexposes all of OpenFST's methods for manipulating FSTs. Additionally, mFST isthe only Python wrapper for OpenFST that exposes OpenFST's ability to define acustom semirings. This makes mFST ideal for developing models that involvelearning the weights on a FST or creating neuralized FSTs. mFST has beendesigned to be easy to get started with and has been previously used inhomework assignments for a NLP class as well in projects for integrating FSTsand neural networks. In this paper, we exhibit mFST API and how to use mFST tobuild a simple neuralized FST with PyTorch.

MFST: A Python OpenFST Wrapper With Support for Custom Semirings and Jupyter Notebooks