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Thai Natural Language Processing

Word Segmentation, Semantic Analysis, and Application

  • Book
  • © 2021

Overview

  • Provides essential information on Natural Language Processing to help readers understand the process of each step for Thai, which is a non-segmentation language
  • Discusses the essentials of NLP and the fundamental principles of the Thai language
  • Provides various word segmentation techniques, and explains how to program Thai NLP with Python

Part of the book series: Studies in Computational Intelligence (SCI, volume 918)

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About this book

This book presents comprehensive solutions for readers wanting to develop their own Natural Language Processing projects for the Thai language. Starting from the fundamental principles of Thai, it discusses each step in Natural Language Processing, and the real-world applications. In addition to theory, it also includes practical workshops for readers new to the field who want to start programming in Natural Language Processing. Moreover, it features a number of new techniques to provide readers with ideas for developing their own projects. The book details Thai words using phonetic annotation and also includes English definitions to help readers understand the content.


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Keywords

Table of contents (6 chapters)

Authors and Affiliations

  • College of Innovation and Management, Suan Sunandha Rajabhat University, Bangkok, Thailand

    Chalermpol Tapsai

  • Fakultät für Mathematik und Informatik, FernUniversität in Hagen, Hagen, Germany

    Herwig Unger

  • Faculty of Information Technology and Digital Information, Department of Information Technology Management, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Phayung Meesad

Bibliographic Information

  • Book Title: Thai Natural Language Processing

  • Book Subtitle: Word Segmentation, Semantic Analysis, and Application

  • Authors: Chalermpol Tapsai, Herwig Unger, Phayung Meesad

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-56235-9

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-56234-2Published: 15 September 2020

  • Softcover ISBN: 978-3-030-56237-3Published: 16 September 2021

  • eBook ISBN: 978-3-030-56235-9Published: 14 September 2020

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: IX, 188

  • Number of Illustrations: 143 b/w illustrations, 42 illustrations in colour

  • Topics: Computational Intelligence, Modern Languages

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