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Record Nr. |
UNINA9910350304003321 |
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Titolo |
Computational and Corpus Approaches to Chinese Language Learning [[electronic resource] /] / edited by Xiaofei Lu, Berlin Chen |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (268 pages) |
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Collana |
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Chinese Language Learning Sciences, , 2520-1719 |
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Disciplina |
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Soggetti |
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Language and languages |
Chinese language |
Computational linguistics |
Corpora (Linguistics) |
Language Education |
Chinese |
Computational Linguistics |
Corpus Linguistics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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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Sommario/riassunto |
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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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