Computational and Corpus Approaches to Chinese Language Learning

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lu, Xiaofei (Editor, http://id.loc.gov/vocabulary/relators/edt), Chen, Berlin (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Chinese Language Learning Sciences,
• Subjects: Language and education.; Chinese language.; Computational linguistics.; Corpora (Linguistics).; Language Education.; Chinese.; Computational Linguistics.; Corpus Linguistics.
• Physical Description: VIII, 269 p. 107 illus., 30 illus. in color. online resource.
• ISBN: 9789811335709
• ISSN: 2520-1719
• DOI: 10.1007/978-981-13-3570-9

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.