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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Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech and text. It then introduces Pynini, a Python library for compiling finite-state grammars and for combining, optimizing, applying, and searching finite-state transducers.
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Preface.- Acknowledgments.- Finite-State Machines.- The Pynini Library.- Basic Algorithms.- Advanced Algorithms.- Rewrite Rules.- Morphological Analysis and Generation.- The Future.- Bibliography.- Authors' Biographies.- Index.
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Product details
ISBN
9783031010514
Published
2021-05-26
Publisher
Springer International Publishing AG
Height
235 mm
Width
191 mm
Age
Professional/practitioner, P, 06
Language
Product language
Engelsk
Format
Product format
Heftet
Original title
Finite-State Text Processing