Computational and Corpus Approaches to Chinese Language Learning
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 r
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Xiaofei Lu · Berlin Chen Editors
Computational and Corpus Approaches to Chinese Language Learning
Chinese Language Learning Sciences Series editors Chin-Chuan Cheng, University of Illinois, USA; Academia Sinica, Taiwan; National Taiwan Normal University, Taiwan Kuo-En Chang, National Taiwan Normal University, Taiwan Executive editors Yao-Ting Sung, National Taiwan Normal University, Taiwan Ping Li, Pennsylvania State University, USA
This book series investigates several critical issues embedded in fundamental, technical, and applied research in the field of Chinese as second language (CSL) learning and teaching, including learning mechanism in the brain, technology application for teaching, learning and assessment. The book series discusses these issues from the perspectives of science (evidence-based approach) and technology. The studies in the book series use the methods from the fields of linguistics (such as corpus linguistics and computational linguistics), psychological and behavioural sciences (such as experimental design and statistical analyses), informational technology (such as information retrieval and natural language processing) and brain sciences (such as neuroimaging and neurolinguistics). The book series generally covers three main interdisciplinary themes: (1) fundamental investigation of Chinese as a first or second language acquisition, (2) development in Chinese language learning technology, and (3) applied research on Chinese language education. More specifically, the book series involves seven research topics: – – – – – – – –
Language transfer mechanism in Chinese as a second language Factors of Chinese as a second language acquisition in childhood Cultural influence on Chinese acquisition Information technology, corpus Teaching material design Teaching strategies and teacher training Learning models Assessment methods
More information about this series at http://www.springer.com/series/13176
Xiaofei Lu Berlin Chen •
Editors
Computational and Corpus Approaches to Chinese Language Learning
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Editors Xiaofei Lu Department of Applied Linguistics The Pennsylvania State University University Park, PA, USA
Berlin Chen Department of Computer Science and Information Engineering National Taiwan Normal University Taipei, Taiwan
ISSN 2520-1719 ISSN 2520-1727 (electronic) Chinese Language Learning Sciences ISBN 978-981-13-3569-3 ISBN 978-981-13-3570-9 (eBook) https://doi.org/10.1007/978-981-13-3570-9 Library of Congress Control Number: 2018964227 © Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered na
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