CLTA newsletter Sept. 2019
中秋快乐！ Newsletter from Chinese Language Teachers Associate - USA.
中秋快乐！
Newsletter from Chinese Language Teachers Associate - USA.
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<strong>CLTA</strong> NEWSLETTER January <strong>2019</strong><br />
pedagogy and assessment.<br />
Computational and Corpus<br />
Approaches to Chinese Language<br />
Learning<br />
Editors: Lu, Xiaofei, Chen, Berlin<br />
This book presents a collection of original research articles that<br />
showcase the state of the art of research in corpus and computational<br />
linguistic approaches to Chinese language teaching, learning and<br />
assessment. It offers a comprehensive set of corpus resources and<br />
natural language processing tools that are useful for teaching, learning<br />
and assessing Chinese as a second or foreign language; methods for<br />
implementing such resources and techniques in Chinese pedagogy<br />
and assessment; as well as research findings on the effectiveness of<br />
using such resources and techniques in various aspects of Chinese<br />
Table of contents (13 chapters)<br />
Computational and Corpus Approaches to Chinese Language Learning: An Introduction<br />
Lu, Xiaofei (et al.)<br />
Corpus and Computational Methods for Usage-Based Chinese Language Learning: Toward a Professional<br />
Multilingualism<br />
Jing-Schmidt, Zhuo<br />
The Corpus Approach to the Teaching and Learning of Chinese as an L1 and an L2 in Retrospect<br />
Xu, Jiajin<br />
Academic Chinese: From Corpora to Language Teaching<br />
Chen, Howard Ho-Jan (et al.)<br />
Pedagogical Applications of Chinese Parallel Corpora<br />
Bluemel, Brody<br />
Data-Driven Adapting for Fine-Tuning Chinese Teaching Materials: Using Corpora as Benchmarks<br />
Bo, Wei (et al.)<br />
Context Analysis for Computer-Assisted Near-Synonym Learning<br />
Yu, Liang-Chih (et al.)<br />
Visualizing Stylistic Differences in Chinese Synonyms<br />
Zhang, Zheng-Sheng<br />
Using Corpus-Based Analysis of Neologisms on China’s New Media for Teaching Chinese as a Second or<br />
Foreign Language<br />
Gong, Wengao (et al.)<br />
Acquisition of the Chinese Particle le by L2 Learners: A Corpus-Based Approach<br />
Xu, Hai (et al.)<br />
Mandarin Chinese Mispronunciation Detection and Diagnosis Leveraging Deep Neural Network Based<br />
Acoustic Modeling and Training Techniques<br />
Chen, Berlin (et al.)<br />
Resources and Evaluations of Automated Chinese Error Diagnosis for Language Learners<br />
Lee, Lung-Hao (et al.)<br />
Automated Chinese Essay Scoring Based on Multilevel Linguistic Features<br />
Chang, Tao-Hsing (et al.)<br />
28
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