Weighted finite-state transducers (WFSTs) are commonly used by
engineers and computational linguists for processing and generating
speech and text. This book first provides a detailed introduction
to this formalism. It then introduces Pynini, a Python library for
compiling finite-state grammars and for combining, optimizing,
applying, and searching finite-state transducers. This book
illustrates this library's conventions and use with a series of
case studies. These include the compilation and application of
context-dependent rewrite rules, the construction of morphological
analyzers and generators, and text generation and processing
applications.
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