Automatic treatment and analysis of learner corpus data / edited by Ana Díaz-Negrillo, University of Granada, Nicolas Ballier, University of Paris Diderot, Paul Thompson, University of Birmingham.

Other author Ballier, Nicolas.
Other author Díaz Negrillo, Ana.
Other author Thompson, Paul, 1958-
Format Electronic
Publication InfoAmsterdam ; Philadelphia : John Benjamins Publishing Company, [2013]
Descriptionvi, 314 pages : illustrations ; 25 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

SeriesStudies in corpus linguistics, 1388-0373 ; volume 59
Studies in corpus linguistics ; volume 59. ^A691390
Contents Learner corpora : looking towards the future / Ana Díaz-Negrillo and Paul Thompson -- Developing corpus interoperability for phonetic investigation of learner corpora / Nicolas Ballier and Philippe Martin -- Learner corpora and second language acquisition : the design and collection of CEDEL2 / Cristóbal Lozano and Amaya Mendikoetxea -- Competing target hypotheses in the Falko corpus : a flexible multi-layer corpus architecture / Marc Reznicek, Anke Lüdeling and Hagen Hirschmann -- Using learner corpora for automatic error detection and correction / Michael Gamon, Martin Chodorow, Claudia Leacock, and Joel Tetreault -- Automatic suprasegmental parameter extraction in learner corpora / Emmanuel Ferragne -- Criterial feature extraction using parallel learner corpora and machine learning / Yukio Tono -- Phonological acquisition in the French-English interlanguage : rising above the phoneme / Adrien Méli -- Prosody in a contrastive learner corpus / Anne Tortel -- A corpus-based comparison of syntactic complexity in NNS and NS university students' writing / Haiyang Ai and Xiaofei Lu -- Analysing coherence in upper-intermediate learner writing / Barbara Schiftner -- Statistical tests for the analysis of learner corpus data / Stefan Th. Gries.
Bibliography noteIncludes bibliographical references (pages 308-309) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2013035784
ISBN9789027203663 (hb : alk. paper)
ISBN9027203660 (hb : alk. paper)

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