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This book is the first English monograph to systematically explore Chinese Multiword expressions (MWEs) by applying corpus-driven and corpus-based approaches. It reveals the unique characteristics of Chinese MWEs by examining their core attributes, identification and classification, and knowledge framework. It also assesses, for the first time, the distribution and density of Chinese MWEs in textbooks. By doing so, the book provides important insights into Chinese language learning, with implications for natural language processing, lexicography, and psychology. Moreover, it offers a framework for linguists, language teachers and learners, computer scientists, lexicographers, and psychologists to explore their own areas of interest.
List of contents
Chapter 1 Introduction.- Chapter 2 Definition and criteria of Chinese MWEs.- Chapter 3 Extract MWEs from textbooks.- Chapter 4 Classification of MWEs.- Chapter 5 Knowledge Framework of Chinese MWEs.- Chapter 6 Conclusions and future work.
About the author
Shan Wang is currently working at the Department of Chinese Language and Literature, University of Macau. Her main research interests include linguistics, second language acquisition, and computational linguistics. She has directed over ten projects, including research, teaching, and knowledge transfer grants. She has also published many papers and edited textbooks and dictionaries. In addition, she released the first set of teaching videos integrated with gamification in TCSL and edited the first set of textbooks on global Chinese. One of her projects was selected for inclusion at the 2017 Hong Kong Innovation and Technology Carnival.
Summary
This book is the first English monograph to systematically explore Chinese Multiword Expressions (MWEs) by applying corpus-driven and corpus-based approaches. It reveals the unique characteristics of Chinese MWEs by examining their core attributes, identification and classification, and knowledge framework. It also assesses, for the first time, the distribution and density of Chinese MWEs in textbooks. By doing so, the book provides important insights into Chinese language learning, with implications for natural language processing, lexicography, and psychology. Moreover, it offers a framework for linguists, language teachers and learners, computer scientists, lexicographers, and psychologists to explore their own areas of interest.
