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Finite-State Language Processing
By Emmanuel Roche, Yves Schabes
1997 | 464 Pages | ISBN: 0262181827 | PDF | 18 MB
Finite-state devices, which include finite-state automata, graphs, and finite-state transducers, are in wide use in many areas of computer science. Recently, there has been a resurgence of the use of finite-state devices in all aspects of computational linguistics, including dictionary encoding, text processing, and speech processing. This book describes the fundamental properties of finite-state devices and illustrates their uses. Many of the contributors pioneered the use of finite-automata for different aspects of natural language processing. The topics, which range from the theoretical to the applied, include finite-state morphology, approximation of phrase-structure grammars, deterministic part-of-speech tagging, application of a finite-state intersection grammar, a finite-state transducer for extracting information from text, and speech recognition using weighted finite automata. The introduction presents the basic theoretical results in finite-state automata and transducers. These results and algorithms are described and illustrated with simple formal language examples as well as natural language examples.
Download:
http://dizzcloud.com/dl/1643lvd/kkegk.FiniteState.Language.Processing.pdf
or
http://uploaded.net/file/rycs8qos/kkegk.FiniteState.Language.Processing.pdf
or
http://rapidgator.net/file/3936427caa2f89a50f0f34b936a9d8f6/kkegk.FiniteState.Language.Processing.pdf.html
Finite-State Language Processing
By Emmanuel Roche, Yves Schabes
1997 | 464 Pages | ISBN: 0262181827 | PDF | 18 MB
Finite-state devices, which include finite-state automata, graphs, and finite-state transducers, are in wide use in many areas of computer science. Recently, there has been a resurgence of the use of finite-state devices in all aspects of computational linguistics, including dictionary encoding, text processing, and speech processing. This book describes the fundamental properties of finite-state devices and illustrates their uses. Many of the contributors pioneered the use of finite-automata for different aspects of natural language processing. The topics, which range from the theoretical to the applied, include finite-state morphology, approximation of phrase-structure grammars, deterministic part-of-speech tagging, application of a finite-state intersection grammar, a finite-state transducer for extracting information from text, and speech recognition using weighted finite automata. The introduction presents the basic theoretical results in finite-state automata and transducers. These results and algorithms are described and illustrated with simple formal language examples as well as natural language examples.
Download:
http://dizzcloud.com/dl/1643lvd/kkegk.FiniteState.Language.Processing.pdf
or
http://uploaded.net/file/rycs8qos/kkegk.FiniteState.Language.Processing.pdf
or
http://rapidgator.net/file/3936427caa2f89a50f0f34b936a9d8f6/kkegk.FiniteState.Language.Processing.pdf.html