000 04130nam a22005535i 4500
999 _c101606
_d101606
001 978-981-13-3570-9
003 DE-He213
005 20210114113436.0
007 cr nn 008mamaa
008 190206s2019 si | s |||| 0|eng d
020 _a9789811335709
024 7 _a10.1007/978-981-13-3570-9
_2doi
040 _cМУБИС
050 4 _aLC8-6691
072 7 _aCJ
_2bicssc
072 7 _aEDU018000
_2bisacsh
072 7 _aCJ
_2thema
082 0 4 _a407.1
_223
245 1 0 _aComputational and Corpus Approaches to Chinese Language Learning
_h[electronic resource] /
_cedited by Xiaofei Lu, Berlin Chen.
250 _a1st ed. 2019.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2019.
300 _aVIII, 269 p. 107 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aChinese Language Learning Sciences,
_x2520-1719
505 0 _aPart 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.
520 _aThis 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.
650 0 _aLanguage and education.
650 0 _aChinese language.
650 0 _aComputational linguistics.
650 0 _aCorpora (Linguistics).
650 1 4 _aLanguage Education.
_0https://scigraph.springernature.com/ontologies/product-market-codes/O23000
650 2 4 _aChinese.
_0https://scigraph.springernature.com/ontologies/product-market-codes/N18000
650 2 4 _aComputational Linguistics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/N22000
650 2 4 _aCorpus Linguistics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/N59000
700 1 _aLu, Xiaofei.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChen, Berlin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811335693
776 0 8 _iPrinted edition:
_z9789811335716
830 0 _aChinese Language Learning Sciences,
_x2520-1719
856 4 0 _uhttps://doi.org/10.1007/978-981-13-3570-9
942 _2ddc
_cEBOOK