Gorman, Kyle.
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, .
Preface -- Acknowledgments -- Finite-State Machines -- The Pynini Library -- Basic Algorithms -- Advanced Algorithms -- Rewrite Rules -- Morphological Analysis and Generation -- The Future -- Bibliography -- Authors' Biographies -- Index.
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.
Q334-342 TA347.A78
006.3
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, .
Preface -- Acknowledgments -- Finite-State Machines -- The Pynini Library -- Basic Algorithms -- Advanced Algorithms -- Rewrite Rules -- Morphological Analysis and Generation -- The Future -- Bibliography -- Authors' Biographies -- Index.
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.
Q334-342 TA347.A78
006.3