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Baum-Welch expectation maximization library


Red led Version 0.3.7 is now available for download.

NEW Baum-Welch is now available on conda-forge. Linux (x86) and Mac OS X users who already have conda can install the library and all dependencies using the following command: conda install -c conda-forge baumwelch.


OpenGrm Baum-Welch is a C++ library (including associated binaries) which allows the user to estimate the parameters of a discrete hidden Markov model (HMM) using the Baum-Welch algorithm (a special case of the expectation maximization meta-algorithm). It uses OpenFst library finite-state transducers (FSTs) and FST archives (FARs) as inputs and outputs.

If you use this toolkit in your research, we would appreciate it if you cited:

K. Gorman, C. Kirov, B. Roark, and R. Sproat. 2021. Structured abbreviation expansion in context. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 995-1005.

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Unknown file formatmd README.md r1 manage 10.9 K 2021-05-18 - 04:22 KyleGorman  
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Topic revision: r14 - 2022-03-26 - KyleGorman
 
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