Computational and Corpus Approaches to Chinese Language Learning
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 tool...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Chinese Language Learning Sciences,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.
