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Finite-State Language Processing (Language, Speech, and Communication)

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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.Contributors : Douglas Appelt, John Bear, David Clemenceau, Maurice Gross, Jerry R. Hobbs, David Israel, Megumi Kameyama, Lauri Karttunen, Kimmo Koskenniemi, Mehryar Mohri, Eric Laporte, Fernando C. N. Pereira, Michael D. Riley, Emmanuel Roche, Yves Schabes, Max D. Silberztein, Mark Stickel, Pasi Tapanainen, Mabry Tyson, Atro Voutilainen, Rebecca N. Wright.Language, Speech, and Communication series

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Good Habits for Great Coding: Improving Programming Skills with Examples in Python
Good Habits for Great Coding: Improving Programming Skills with Examples in Python

Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more. 

Taking an informal, conversational tone,...

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Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Modeling Software with Finite State Machines: A Practical Approach
Modeling Software with Finite State Machines: A Practical Approach
This book discusses a topic that is among the central questions of software development. Therefore, we must position ourselves in that area to justify our right to express our opinion on that topic. Saying “we” implies at least one person in the co-author group. We have worked for several years in software development using various...

Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Computational Linguistics and Intelligent Text Processing: Second International Conference, CICLing 2001, Mexico-City, Mexico, February 18-24, 2001. Proceedings
Computational Linguistics and Intelligent Text Processing: Second International Conference, CICLing 2001, Mexico-City, Mexico, February 18-24, 2001. Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2001, held in Mexico City, Mexico in February 2001.
The 38 revised full papers and 12 short papers presented together with three invited papers were carefully reviewed and selected from 72
...
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

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