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  • Alexopoulou et al_in press

    Rights statement: 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.

    Accepted author manuscript, 592 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

  • OnlineSupplementaryMaterial1

    Rights statement: 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.

    Accepted author manuscript, 1.59 MB, Word document

  • OnlineSupplementaryMaterial2

    Rights statement: 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.

    Accepted author manuscript, 40.9 KB, Word document

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

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<mark>Journal publication date</mark>06/2017
<mark>Journal</mark>Language Learning
Issue numberSuppl. 1
Volume67
Number of pages29
Pages (from-to)180-208
Publication statusPublished
Early online date20/03/17
Original languageEnglish

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.

Bibliographic note

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.