Introduction to Chinese Natural Language Processing

Author:   Kam-Fai Wong ,  Wenjie Li ,  Ruifeng Xu ,  Zheng-sheng Zhang
Publisher:   Morgan & Claypool Publishers
ISBN:  

9781598299328


Pages:   148
Publication Date:   30 November 2009
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Introduction to Chinese Natural Language Processing


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Overview

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.

Full Product Details

Author:   Kam-Fai Wong ,  Wenjie Li ,  Ruifeng Xu ,  Zheng-sheng Zhang
Publisher:   Morgan & Claypool Publishers
Imprint:   Morgan & Claypool Publishers
Dimensions:   Width: 18.70cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.288kg
ISBN:  

9781598299328


ISBN 10:   1598299328
Pages:   148
Publication Date:   30 November 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

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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