In:Automatic Treatment and Analysis of Learner Corpus Data
Edited by Ana Díaz-Negrillo, Nicolas Ballier and Paul Thompson
[Studies in Corpus Linguistics 59] 2013
► pp. v–vi
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Published online: 18 December 2013
https://doi.org/10.1075/scl.59.toc
https://doi.org/10.1075/scl.59.toc
Table of contents
Section 1. Introduction
Introduction
Learner corpora: Looking towards the future
Section 2. Compilation, annotation and exchangeability of learner corpus data
Developing corpus interoperability for phonetic investigation of learner corpora
Learner corpora and second language acquisition: The design and collection of CEDEL2
Competing target hypotheses in the Falko corpus: A flexible multi-layer corpus architecture
Section 3. Automatic approaches to the identification of learner language features in learner corpus data
Using learner corpora for automatic error detection and correction
Automatic suprasegmental parameter extraction in learner corpora
Criterial feature extraction using parallel learner corpora and machine learning
Section 4. Analysis of learner corpus data
Phonological acquisition in the French-English interlanguage: Rising above the phoneme
Prosody in a contrastive learner corpus
A corpus-based comparison of syntactic complexity in NNS and NS university students’ writing
Analysing coherence in upper-intermediate learner writing
Statistical tests for the analysis of learner corpus data
Index
