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Computational and Corpus Approaches to Chinese Language Learning

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Cover of 'Computational and Corpus Approaches to Chinese Language Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Computational and Corpus Approaches to Chinese Language Learning: An Introduction
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    Chapter 2 Corpus and Computational Methods for Usage-Based Chinese Language Learning: Toward a Professional Multilingualism
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    Chapter 3 The Corpus Approach to the Teaching and Learning of Chinese as an L1 and an L2 in Retrospect
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    Chapter 4 Academic Chinese: From Corpora to Language Teaching
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    Chapter 5 Pedagogical Applications of Chinese Parallel Corpora
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    Chapter 6 Data-Driven Adapting for Fine-Tuning Chinese Teaching Materials: Using Corpora as Benchmarks
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    Chapter 7 Context Analysis for Computer-Assisted Near-Synonym Learning
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    Chapter 8 Visualizing Stylistic Differences in Chinese Synonyms
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    Chapter 9 Using Corpus-Based Analysis of Neologisms on China’s New Media for Teaching Chinese as a Second or Foreign Language
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    Chapter 10 Acquisition of the Chinese Particle le by L2 Learners: A Corpus-Based Approach
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    Chapter 11 Mandarin Chinese Mispronunciation Detection and Diagnosis Leveraging Deep Neural Network Based Acoustic Modeling and Training Techniques
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    Chapter 12 Resources and Evaluations of Automated Chinese Error Diagnosis for Language Learners
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    Chapter 13 Automated Chinese Essay Scoring Based on Multilevel Linguistic Features
Attention for Chapter 11: Mandarin Chinese Mispronunciation Detection and Diagnosis Leveraging Deep Neural Network Based Acoustic Modeling and Training Techniques
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