Silberztein, Mark Stickel, Pasi Tapanainen, Mabry Tyson, Atro Voutilainen, Rebecca N. Riley, Emmanuel Roche, Yves Schabes, Max D. Abstract: This chapter begins with the definitions of alphabet and language in the precise sense of computer science. Hobbs, David Israel, Megumi Kameyama, Lauri Karttunen, Kimmo Koskenniemi, Mehryar Mohri, Eric Laporte, Fernando C. These results and algorithms are described and illustrated with simple formal language examples as well as natural language examples.Ĭontributors Douglas Appelt, John Bear, David Clemenceau, Maurice Gross, Jerry R. The introduction presents the basic theoretical results in finite-state automata and transducers. It has some finite states and rules for moving from one state to another but it depends upon the given. The finite automata machine contains five tuple or elements. 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. Finite Automata (FA) is a machine which accepts all the regular languages. The concepts of distinguishability and interchangeability. It describes various operations under which the class of finite-state languages is closed. The chapter reviews several concepts that are useful in formulating criteria for a language to be finite-state. Many of the contributors pioneered the use of finite-automata for different aspects of natural language processing. This chapter discusses the behavior of finite outputless automata. This book describes the fundamental properties of finite-state devices and illustrates their uses. 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. Finite-state devices, which include finite-state automata, graphs, and finite-state transducers, are in wide use in many areas of computer science.