OpenFst Library
OpenFst version 1.8.3 is now available for download.
OpenFst is now also available on
conda-forge. Linux (x86) and Mac OS X users who already have
conda can install using the following command:
conda install -c conda-forge openfst
.
OpenFst is a library for constructing, combining, optimizing, and searching
weighted finite-state transducers (FSTs). Weighted finite-state transducers are automata where each transition has an input label, an output label, and a
weight. The more familiar finite-state acceptor is represented as a transducer with each transition's input and output label equal. Finite-state acceptors are used to represent sets of strings (specifically,
regular or
rational sets); finite-state transducers are used to represent binary relations between pairs of strings (specifically,
rational transductions). The weights can be used to represent the cost of taking a particular transition. FSTs have key applications in speech recognition and synthesis, machine translation, optical character recognition, pattern matching, string processing, machine learning, information extraction and retrieval among others. Often a weighted transducer is used to represent a probabilistic model (e.g., an
n-gram model,
pronunciation model). FSTs can be optimized by
determinization and
minimization, models can be applied to hypothesis sets (also represented as automata) or cascaded by finite-state
composition, and the best results can be selected by
shortest-path algorithms.
This library was developed by
contributors from Google Research and NYU's Courant Institute. It is intended to be comprehensive, reliable, flexible, efficient, and to scale well. It is an open source project distributed under the
Apache license.