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Computational and Corpus Approaches ...
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Chen, Berlin.
Computational and Corpus Approaches to Chinese Language Learning
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational and Corpus Approaches to Chinese Language Learning/ edited by Xiaofei Lu, Berlin Chen.
其他作者:
Lu, Xiaofei.
面頁冊數:
VIII, 269 p. 107 illus., 30 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Language and education. -
電子資源:
https://doi.org/10.1007/978-981-13-3570-9
ISBN:
9789811335709
Computational and Corpus Approaches to Chinese Language Learning
Computational and Corpus Approaches to Chinese Language Learning
[electronic resource] /edited by Xiaofei Lu, Berlin Chen. - 1st ed. 2019. - VIII, 269 p. 107 illus., 30 illus. in color.online resource. - Chinese Language Learning Sciences,2520-1719. - Chinese Language Learning Sciences,.
Part I Introduction -- Computational and Corpus Approaches to Chinese Language Learning: An Introduction -- Usage-based Theory of Language Learning Necessitates Computational and Corpus Methods in Language Teaching -- The Corpus Approach to the Teaching and Learning of Chinese as an L1 and an L2 in Retrospect -- Part II Tools, Resources and General Applications -- Academic Chinese: From Corpora to Language Teaching -- Pedagogical Applications of Chinese Parallel Corpora -- Data-driven Adapting for Fine-tuning Chinese Teaching Materials: Using Corpora as Benchmarks -- Part III Specific Applications -- Context Analysis for Computer-Assisted Near-Synonym Learning -- Visualization of Stylistic Differences between Chinese Synonyms -- Using Corpus-based Analysis of Neologisms on China's New Media for Teaching -- Part IV Learner Language Analysis and Assessment -- Acquisition of the Chinese Particle le by L2 Learners: A Corpus-based Approach -- Mandarin Chinese Mispronunciation Detection and Diagnosis Leveraging Deep Neural Network based Acoustic Modeling and Training Techniques -- Automated Chinese Error Diagnosis for Language Learners: Resources and Evaluations -- Automated Chinese Essay Scoring based on Multi-level Linguistic Features.
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.
ISBN: 9789811335709
Standard No.: 10.1007/978-981-13-3570-9doiSubjects--Topical Terms:
555467
Language and education.
LC Class. No.: LC8-6691
Dewey Class. No.: 407.1
Computational and Corpus Approaches to Chinese Language Learning
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Part I Introduction -- Computational and Corpus Approaches to Chinese Language Learning: An Introduction -- Usage-based Theory of Language Learning Necessitates Computational and Corpus Methods in Language Teaching -- The Corpus Approach to the Teaching and Learning of Chinese as an L1 and an L2 in Retrospect -- Part II Tools, Resources and General Applications -- Academic Chinese: From Corpora to Language Teaching -- Pedagogical Applications of Chinese Parallel Corpora -- Data-driven Adapting for Fine-tuning Chinese Teaching Materials: Using Corpora as Benchmarks -- Part III Specific Applications -- Context Analysis for Computer-Assisted Near-Synonym Learning -- Visualization of Stylistic Differences between Chinese Synonyms -- Using Corpus-based Analysis of Neologisms on China's New Media for Teaching -- Part IV Learner Language Analysis and Assessment -- Acquisition of the Chinese Particle le by L2 Learners: A Corpus-based Approach -- Mandarin Chinese Mispronunciation Detection and Diagnosis Leveraging Deep Neural Network based Acoustic Modeling and Training Techniques -- Automated Chinese Error Diagnosis for Language Learners: Resources and Evaluations -- Automated Chinese Essay Scoring based on Multi-level Linguistic Features.
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