Thai Natural Language Processing
Word Segmentation, Semantic Analysis, and Application
Authors: Tapsai, Chalermpol, Unger, Herwig, Meesad, Phayung
Free Preview- 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
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- About this book
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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.
- Table of contents (6 chapters)
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Introduction
Pages 1-24
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Thai Word Segmentation
Pages 25-36
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TLS-ART-MC, A New Algorithm for Thai Word Segmentation
Pages 37-83
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Semantic Analysis
Pages 85-97
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Thai Natural Language Processing Programming
Pages 99-130
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Table of contents (6 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Thai Natural Language Processing
- Book Subtitle
- Word Segmentation, Semantic Analysis, and Application
- Authors
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- Chalermpol Tapsai
- Herwig Unger
- Phayung Meesad
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 918
- Copyright
- 2021
- Publisher
- Springer International Publishing
- Copyright Holder
- The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-56235-9
- DOI
- 10.1007/978-3-030-56235-9
- Hardcover ISBN
- 978-3-030-56234-2
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- IX, 188
- Number of Illustrations
- 143 b/w illustrations, 42 illustrations in colour
- Topics
