Computational and Corpus Approaches to Chinese Language Learning

Description

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. From the Back Cover 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. About the Author Xiaofei Lu is an Associate Professor of Applied Linguistics and Asian Studies at The Pennsylvania State University, where he directs the graduate programs in the Department of Applied Linguistics. His research interests include corpus linguistics, computational linguistics, intelligent computer-assisted language learning, English for academic purposes, and second language writing. He is the author of Computational Methods for Corpus Annotation and Analysis (Springer, 2014), and his work has been published in the American Educational Research Journal, Applied Linguistics, Educational Researcher, English for Specific Purposes, International Journal of Corpus Linguistics, Journal of Pragmatics, Journal of Second Language Writing, Language Learning and Technology, Language Resources and Evaluation, Language Testing, ReCALL, TESOL Quarterly, and The Modern Language Journal. 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. Front Matter ....Pages i-viii Front Matter ....Pages 1-1 Computational and Corpus Approaches to Chinese Language Learning: An Introduction (Xiaofei Lu, Berlin Chen)....Pages 3-11 Corpus and Computational Methods for Usage-Based Chinese Language Learning: Toward a Professional Multilingualism (Zhuo Jing-Schmidt)....Pages 13-31 The Corpus Approach to the Teaching and Learning of Chinese as an L1 and an L2 in Retrospect (Jiajin Xu)....Pages 33-53 Front Matter ....Pages 55-55 Academic Chinese: From Corpora to Language Teaching (Howard Ho-Jan Chen, Hongyin Tao)....Pages 57-79 Pedagogical Applications of Chinese Parallel Corpora (Brody Bluemel)....Pages 81-98 Data-Driven Adapting for Fine-Tuning Chinese Teaching Materials: Using Corpora as Benchmarks (Wei Bo, Jing Chen, Kai Guo, Tan Jin)....Pages 99-118 Front Matter ....Pages 119-119 Context Analysis for Computer-Assisted Near-Synonym Learning (Liang-Chih Yu, Wei-Nan Chien, Kai-Hsiang Hsu)....Pages 121-143 Visualizing Stylistic Differences in Chinese Synonyms (Zheng-Sheng Zhang)....Pages 145-172 Using Corpus-Based Analysis of Neologisms on China’s New Media for Teaching Chinese as a Second or Foreign Language (Wengao Gong, Huaqing Hong)....Pages 173-194 Front Matter ....Pages 195-195 Acquisition of the Chinese Particle le by L2 Learners: A Corpus-Based Approach (Hai Xu, Xiaofei Lu, Vaclav Brezina)....Pages 197-216 Mandarin Chinese Mispronunciation Detection and Diagnosis Leveraging Deep Neural Network Based Acoustic Modeling and Training Techniques (Berlin Chen, Yao-Chi Hsu)....Pages 217-234 Resources and Evaluations of Automated Chinese Error Diagnosis for Language Learners (Lung-Hao Lee, Yuen-Hsien Tseng, Li-Ping Chang)....Pages 235-252 Automated Chinese Essay Scoring Based on Multilevel Linguistic Features (Tao-Hsing Chang, Yao-Ting Sung)....Pages 253-269