Computational and corpus approaches to Chinese language learning /
[Book]
Xiaofei Lu, Berlin Chen.
Singapore :
Springer,
[2019]
1 online resource
Chinese Language Learning Sciences,
2520-1719
2 Automatic Near-Synonym Choice
Intro; Preface; Contents; Introduction; Computational and Corpus Approaches to Chinese Language Learning: An Introduction; 1 Rationale and Objectives of the Book; 2 Corpus Linguistics and Chinese Language Learning; 3 Computational Linguistics, Natural Language Processing, and Chinese Language Learning; 4 Organization of the Book; References; Corpus and Computational Methods for Usage-Based Chinese Language Learning: Toward a Professional Multilingualism; 1 Introduction; 2 The Usage-Based Model of Language; 3 The Usage-Based Model of SLA and Its Pedagogical Impact
2.5 L1 Chinese Production Corpora: Collections of School Pupils' Essays3 Key Corpus Projects in Teaching and Learning Chinese as an L2; 3.1 L2 Learner Chinese Corpora; 3.2 L2 Chinese Learners' Input Corpora; 3.3 Applications of Data-Driven Teaching and Learning of Chinese; 4 Concluding Remarks; References; Tools, Resources and General Applications; Academic Chinese: From Corpora to Language Teaching; 1 Introduction; 2 Review of the State of the Art of Academic Chinese Corpus Building; 3 Academic Chinese Corpora at NTNU and UCLA: Development and Research; 3.1 The NTNU Academic Chinese Corpus
3.2 The UCLA Academic Chinese Corpus and Related Applications4 Concluding Remarks; References; Pedagogical Applications of Chinese Parallel Corpora; 1 Parallel and Translation Corpora; 2 Pedagogical Applications of Parallel Corpora; 3 Applying Parallel Corpora in Chinese Reading and Writing Acquisition; 4 Tools and Resources; 4.1 Parallel Corpus Resources Designed for Research; 4.2 Parallel Corpus Resources Designed for Pedagogy; 4.3 Additional Resources that Incorporate Parallel Corpus Technology; 5 Future Applications and Conclusion; References
4 Corpus and Computational Methods as Part of Professional Multilingualism5 Conclusion; References; The Corpus Approach to the Teaching and Learning of Chinese as an L1 and an L2 in Retrospect; 1 Preamble; 2 Key Corpus Projects in Teaching and Learning Chinese as an L1; 2.1 First Concordance Projects for Chinese Classics Exegesis; 2.2 Pre-computer Chinese Corpus-Based Character Lists and Chinese Textbooks for Basic Literacy; 2.3 Computer Corpus-Based Lexical Studies for the Teaching and Learning of Chinese; 2.4 Computer Corpus-Based Grammatical Studies for the Teaching and Learning of Chinese
Data-Driven Adapting for Fine-Tuning Chinese Teaching Materials: Using Corpora as Benchmarks1 Introduction; 2 Literature Review; 3 Introduction to the Online Tool Chi-Editor; 3.1 Leveling in Chi-Editor; 3.2 Tagging in Chi-Editor; 3.3 Reporting in Chi-Editor; 4 Research Questions; 5 Methodology; 5.1 Interview Subjects; 5.2 Procedures; 5.3 Texts; 6 Findings; 6.1 Interview: Leveling; 6.2 Interview: Tagging; 6.3 Interview: Reporting; 7 Discussion and Conclusion; References; Specific Applications; Context Analysis for Computer-Assisted Near-Synonym Learning; 1 Introduction
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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.
Springer Nature
com.springer.onix.9789811335709
Computational and Corpus Approaches to Chinese Language Learning.