Overview
- Authors:
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Alex Chengyu Fang
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Chinese, Translation and Linguistics, City University of Hong Kong, Hong Kong, China
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Jing Cao
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Zhongnan University of Economics and Law, Wuhan, China
- Provides systematic discussions ranging from lexis and grammar to spoken discourse
- Uses balanced corpora and richly annotated linguistic information for effective feature selection
- Gives state-of-the-art computation of genres and registers based on linguistic motivations
- Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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Front Matter
Pages i-xiii
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- Alex Chengyu Fang, Jing Cao
Pages 1-9
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- Alex Chengyu Fang, Jing Cao
Pages 11-25
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- Alex Chengyu Fang, Jing Cao
Pages 27-54
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- Alex Chengyu Fang, Jing Cao
Pages 55-70
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- Alex Chengyu Fang, Jing Cao
Pages 71-82
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- Alex Chengyu Fang, Jing Cao
Pages 83-115
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- Alex Chengyu Fang, Jing Cao
Pages 117-133
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- Alex Chengyu Fang, Jing Cao
Pages 135-142
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- Alex Chengyu Fang, Jing Cao
Pages 143-165
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- Alex Chengyu Fang, Jing Cao
Pages 167-181
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- Alex Chengyu Fang, Jing Cao
Pages 183-215
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- Alex Chengyu Fang, Jing Cao
Pages 217-220
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Back Matter
Pages 221-267
About this book
This book is a description of some of the most recent advances in text classification as part of a concerted effort to achieve computer understanding of human language. In particular, it addresses state-of-the-art developments in the computation of higher-level linguistic features, ranging from etymology to grammar and syntax for the practical task of text classification according to genres, registers and subject domains. Serving as a bridge between computational methods and sophisticated linguistic analysis, this book will be of particular interest to academics and students of computational linguistics as well as professionals in natural language engineering.
Reviews
“This book would be a useful addition to the field of corpus-based computational analysis by tactically connecting corpus perspective and NLP perspective. … In summation, their methodology of research represented by these empirical studies, including their choices of corpora, annotation schemes, and evaluation measures, could set very good examples for future researchers, especially for those who are familiar with both corpus linguistics and NLP.” (Fan Pan and Guoxiao Tao, Scientometrics, Vol. 113, 2017)
Authors and Affiliations
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Chinese, Translation and Linguistics, City University of Hong Kong, Hong Kong, China
Alex Chengyu Fang
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Zhongnan University of Economics and Law, Wuhan, China
Jing Cao
About the authors
Alex Fang is based at the Department of Chinese, Translation and Linguistics, City University of Hong Kong and lectures on topics devoted to corpus linguistics, computational linguistics and machine translation. He is also Adjunct Professor at the Beijing University of Aeronautics and Astronautics in Beijing, China. He is Director of the Dialogue Systems Group (http://dsg.ctl.cityu.edu.hk) and currently supervises 6 PhD students. He has published widely and his most recent monographs include English Corpora and Automated Grammatical Analysis (2007) and Contributions of Syntax to Terminology Extraction (2010). He is National Expert representing China in the International Organisation for Standardisation (ISO) on Technical Committee 37 for terminology and language resources, where he has participated in the drafting of several international standards for language resource annotation. He is also an appointed expert member of the China National Technical Committee for the Standardization of Terminologies and Language Resources. He serves on the programme committee of several major international conferences on computational linguistics. He was previously Deputy Director of the Survey of English Usage, University College London, where he received his PhD in linguistics.
