This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP). Since the major difference between Chinese and Western languages is at the word level, the book primarily focuses on Chinese morphological analysis and introduces the concept, structure, and interword semantics of Chinese words. The following topics are covered: a general introduction to Chinese NLP; Chinese characters, morphemes, and words and the characteristics of Chinese words that have to be considered in NLP applications; Chinese word segmentation; unknown word detection; word meaning and Chinese linguistic resources; interword semantics based on word collocation and NLP techniques for collocation extraction. Table of Contents: Introduction / Words in Chinese / Challenges in Chinese Morphological Processing / Chinese Word Segmentation / Unknown Word Identification / Word Meaning / Chinese Collocations / Automatic Chinese Collocation Extraction / Appendix / References / Author Biographies

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Yes, you can access Introduction to Chinese Natural Language Processing by Kam-Fai Wong,Wenjie Li,Ruifeng Xu,Zheng-sheng Zhang in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Springer

Year

2022

ISBN

9783031021336

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Copyright Page
Title Page
Contents
1. Introduction
2. Words in Chinese
3. Challenges in Chinese Morphological Processing
4. Chinese Word Segmentation
5. Unknown Word Identification
6. Word Meaning
7. Chinese Collocations
8. Automatic Chinese Collocation Extraction
Appendix
References
Author Biographies