Finite-State Text Processing [electronic resource] /
by Kyle Gorman, Richard Sproat.
- 1st ed. 2021.
- XVII, 140 p. online resource.
- Synthesis Lectures on Human Language Technologies, 1947-4059 .
- Synthesis Lectures on Human Language Technologies, .
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.
9783031021794
10.1007/978-3-031-02179-4 doi
Artificial intelligence. Natural language processing (Computer science). Computational linguistics. Artificial Intelligence. Natural Language Processing (NLP). Computational Linguistics.