Editors:
- Introduces corpora and natural language processing techniques for teaching, learning and assessing Chinese as a second or foreign language
- Provides corpus resources and automated tools that are useful for Chinese language teaching, learning and assessment
- Helps understand learners’ acquisition of Chinese through an analysis of large-scale learner Chinese corpora
Part of the book series: Chinese Language Learning Sciences (CLLS)
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Table of contents (13 chapters)
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Front Matter
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Introduction
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Front Matter
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Tools, Resources and General Applications
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Front Matter
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Learner Language Analysis and Assessment
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Front Matter
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About this book
This book presents a collection of original research articles that showcase the state of the art of research in corpus and computational linguistic approaches to Chinese language teaching, learning and assessment. It offers a comprehensive set of corpus resources and natural language processing tools that are useful for teaching, learning and assessing Chinese as a second or foreign language; methods for implementing such resources and techniques in Chinese pedagogy and assessment; as well as research findings on the effectiveness of using such resources and techniques in various aspects of Chinese pedagogy and assessment.
Editors and Affiliations
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Department of Applied Linguistics, The Pennsylvania State University, University Park, USA
Xiaofei Lu
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Department of Computer Science and Information Engineering, National Taiwan Normal University, Taipei, Taiwan
Berlin Chen
About the editors
Berlin Chen is a Professor and Chair of the Computer Science and Information Engineering Department at National Taiwan Normal University. He received his Ph.D. in Computer Science and Information Engineering from National Taiwan University in June 2001, and joined NTNU as an Assistant Professor in August 2002. He became an Associate Professor in August 2006 and was promoted to the rank of Professor in February 2010. His research interests lie in the general areas of speech and natural language processing, multimedia information retrieval, and computer-assisted language learning. He is the author/coauthor of over 150 academic publications. Prof. Chen is a member of IEEE, ISCA and ACLCLP.
Bibliographic Information
Book Title: Computational and Corpus Approaches to Chinese Language Learning
Editors: Xiaofei Lu, Berlin Chen
Series Title: Chinese Language Learning Sciences
DOI: https://doi.org/10.1007/978-981-13-3570-9
Publisher: Springer Singapore
eBook Packages: Education, Education (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-3569-3Published: 25 February 2019
eBook ISBN: 978-981-13-3570-9Published: 06 February 2019
Series ISSN: 2520-1719
Series E-ISSN: 2520-1727
Edition Number: 1
Number of Pages: VIII, 269
Number of Illustrations: 77 b/w illustrations, 30 illustrations in colour
Topics: Language Education, Chinese, Computational Linguistics, Corpus Linguistics