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Thai Natural Language Processing - Word Segmentation, Semantic Analysis, and Application (Paperback, 1st ed. 2021): Chalermpol... Thai Natural Language Processing - Word Segmentation, Semantic Analysis, and Application (Paperback, 1st ed. 2021)
Chalermpol Tapsai, Herwig Unger, Phayung Meesad
R4,200 Discovery Miles 42 000 Ships in 10 - 15 working days

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.

Thai Natural Language Processing - Word Segmentation, Semantic Analysis, and Application (Hardcover, 1st ed. 2021): Chalermpol... Thai Natural Language Processing - Word Segmentation, Semantic Analysis, and Application (Hardcover, 1st ed. 2021)
Chalermpol Tapsai, Herwig Unger, Phayung Meesad
R3,430 Discovery Miles 34 300 Ships in 12 - 17 working days

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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