Finite-State Text Processing

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.