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Computational and corpus approaches ...
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Chen, Berlin.
Computational and corpus approaches to Chinese language learning
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational and corpus approaches to Chinese language learningedited by Xiaofei Lu, Berlin Chen.
other author:
Lu, Xiaofei.
Published:
Singapore :Springer Singapore :2019.
Description:
viii, 269 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Chinese languageAcquisition.
Online resource:
https://doi.org/10.1007/978-981-13-3570-9
ISBN:
9789811335709$q(electronic bk.)
Computational and corpus approaches to Chinese language learning
Computational and corpus approaches to Chinese language learning
[electronic resource] /edited by Xiaofei Lu, Berlin Chen. - Singapore :Springer Singapore :2019. - viii, 269 p. :ill., digital ;24 cm. - 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$q(electronic bk.)
Standard No.: 10.1007/978-981-13-3570-9doiSubjects--Topical Terms:
234236
Chinese language
--Acquisition.
LC Class. No.: PL1074.85 / .C667 2019
Dewey Class. No.: 495.107
Computational and corpus approaches to Chinese language learning
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edited by Xiaofei Lu, Berlin Chen.
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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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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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Lu, Xiaofei.
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Chen, Berlin.
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Education (Springer-41171)
based on 0 review(s)
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EB PL1074.85 C738 2019 2019
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https://doi.org/10.1007/978-981-13-3570-9
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