Document Type
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BL
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Record Number
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891309
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Title & Author
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Computational and corpus approaches to Chinese language learning /\ Xiaofei Lu, Berlin Chen.
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Publication Statement
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Singapore :: Springer,, [2019]
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Series Statement
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Chinese Language Learning Sciences,
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Page. NO
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1 online resource
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ISBN
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9789811335709
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: 9789811335716
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: 9811335702
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: 9811335710
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9789811335693
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9811335699
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Notes
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2 Automatic Near-Synonym Choice
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Contents
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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
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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
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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
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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
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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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Abstract
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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.
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Subject
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Chinese language-- Acquisition.
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Subject
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Chinese language-- Acquisition.
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Dewey Classification
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495.107
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LC Classification
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PL1074.85.C66 2019
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Added Entry
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Chen, Berlin
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Lu, Xiaofei
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