Chinese Multiword Expressions: Theoretical and Practical Perspectives

ISBN-13: 9789811385094 / Angielski / Twarda / 2019 / 126 str.

Shan Wang

Spis treści

Abstract

Chapter 1   Introduction

1.1 Research issues and objectives

1.2 Impact of this research

1.3 The structure of the book

Chapter 2  Definition and criteria of Chinese MWEs

2.1 The terms and definitions of MWEs

2.1.1 Terms

2.1.2 Definitions

2.1.3 The nature of MWEs

2.1.4 The definition of MWEs in this study

2.2 Identification and extraction of MWEs

2.3 Criteria of Chinese MWEs in this study

Chapter 3  Extract MWEs from textbooks

3.1 Construction of the CSL Textbook Corpus

3.1.1 Selection of textbooks

3.1.2 Processing of texts from the textbooks

3.1.3 General information of the textbook corpus

3.2 Construction of the MWEs Corpus of CSL Textbooks

3.2.1 Extracting MWEs from textbooks

3.2.2 Standardization of MWEs’ variants

3.2.3 Examples of the MWEs Corpus of CSL Textbooks

3.3 MWEs in four sets of Chinese textbooks

3.3.1 MWEs’ general information in four sets of textbooks

3.3.2 Analysis based on textbooks

3.3.3 Analysis based on levels/volumes

3.3.4 The enlightenment to teaching according to the distribution of MWEs

Chapter 4  Classification of MWEs

4.1 Existing Classification of MWEs

4.2 Classification of MWEs in this research

4.3 Characteristics of each category of MWEs

4.3.1 Idioms

4.3.2 Polite formulas

4.3.3 Conventionalized expressions

4.3.4 Parentheses

4.3.5 High frequency collocations

4.3.6 Frame structures

4.3.7 Classifier phrases

4.3.8 Summary of the characteristics of different categories of MWEs

4.5 Categories of MWEs in the textbooks

4.5.1 Distribution of different categories of MWEs in four sets of textbooks

4.5.2 MWEs’ categories in different levels of textbooks

4.5.3 High frequency MWEs in textbooks

4.5.4 Enlightenments to teaching from the distribution of MWEs

Chapter 5  Knowledge Framework of Chinese MWEs

5.1 Form

5.1.1 Pronunciation

5.1.2 Orthography

5.1.3 MWE Parts

5.1.4 Form standardization of MWEs

5.2 Meaning

5.2.1 Semantic Features of MWEs

5.2.2 Interpretation of MWEs

5.2.3 Semantic Relationships of MWEs

5.3 Use

5.3.1 Grammatical functions of MWEs

5.3.2 Example sentences

5.3.3 Constraints on use

5.4 Compositionality

5.4.1 Semantic transparency

5.4.2 Syntactic analyzability

5.4.3 Non-literal meanings

5.5 Construction of the MWEs Knowledge Base

5.5.1  Information of the MWEs Knowledge Base

5.5.2  Deep Knowledge Annotation to MWEs

5.6 Application of the MWEs Knowledge Base

5.6.1 The treatment of MWEs in four sets of textbooks

5.6.2 Suggestions for improving MWE content in textbooks

5.6.3 Application of the MWEs Knowledge Base

Chapter 6  Conclusions and future work

6.1 Conclusions

6.2 Future work

O autorze

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.

Blurb

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.