Task effects on linguistic complexity and accuracy : a large-scale learner corpus analysis employing Natural Language Processing techniques

Alexopoulou, Theodora and Michel, Marije Cornelie and Murakami, Akira and Detmar, Meurers (2017) Task effects on linguistic complexity and accuracy : a large-scale learner corpus analysis employing Natural Language Processing techniques. Language Learning, 67 (Suppl.). pp. 180-208. ISSN 0023-8333

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Abstract

Large-scale learner corpora collected from online language learning platforms, such as the EF-Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze learner data at an unprecedented scale. However, interpreting the learner language in such corpora requires a precise understanding of tasks: Howdoes the prompt and input of a task and its functional requirements influence task-based linguistic performance? This question is vital for making large-scale task-based corpora fruitful for second language acquisition research. We explore the issue through an analysis of selected tasks in EFCAMDAT and the complexity and accuracy of the language they elicit.

Item Type:

Journal Article

Journal or Publication Title:

Language Learning

Additional Information:

This is the peer reviewed version of the following article:Alexopoulou, T., Michel, M., Murakami, A. and Meurers, D. (2017), Task Effects on Linguistic Complexity and Accuracy: A Large-Scale Learner Corpus Analysis Employing Natural Language Processing Techniques. Language Learning, 67: 180–208. doi:10.1111/lang.12232 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/lang.12232/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

Uncontrolled Keywords:

/dk/atira/pure/subjectarea/asjc/3300/3304

Subjects:

?? educationlinguistics and languagelanguage and linguisticsdiscipline-based research ??

Departments:

Faculty of Arts & Social Sciences > Linguistics & English Language

ID Code:

83702

Deposited By:

ep_importer_pure

Deposited On:

19 Dec 2016 13:10

Refereed?:

Yes

Published?:

Published

Last Modified:

30 Oct 2024 01:12

URI:

https://eprints.lancs.ac.uk/id/eprint/83702