Home > Research > Publications & Outputs > Task effects on linguistic complexity and accuracy

Electronic data

  • 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

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to journalJournal article

Published

Standard

Task effects on linguistic complexity and accuracy : a large-scale learner corpus analysis employing Natural Language Processing techniques. / Alexopoulou, Theodora; Michel, Marije Cornelie; Murakami, Akira; Detmar, Meurers.

In: Language Learning, Vol. 67, No. Suppl. 1, 06.2017, p. 180-208.

Research output: Contribution to journalJournal article

Harvard

APA

Vancouver

Author

Alexopoulou, Theodora ; Michel, Marije Cornelie ; Murakami, Akira ; Detmar, Meurers. / Task effects on linguistic complexity and accuracy : a large-scale learner corpus analysis employing Natural Language Processing techniques. In: Language Learning. 2017 ; Vol. 67, No. Suppl. 1. pp. 180-208.

Bibtex

@article{270347ddff5b423a992f042574ffe42a,
title = "Task effects on linguistic complexity and accuracy: a large-scale learner corpus analysis employing Natural Language Processing techniques",
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.",
author = "Theodora Alexopoulou and Michel, {Marije Cornelie} and Akira Murakami and Meurers Detmar",
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.",
year = "2017",
month = jun
doi = "10.1111/lang.12232",
language = "English",
volume = "67",
pages = "180--208",
journal = "Language Learning",
issn = "0023-8333",
publisher = "Wiley",
number = "Suppl. 1",

}

RIS

TY - JOUR

T1 - Task effects on linguistic complexity and accuracy

T2 - a large-scale learner corpus analysis employing Natural Language Processing techniques

AU - Alexopoulou, Theodora

AU - Michel, Marije Cornelie

AU - Murakami, Akira

AU - Detmar, Meurers

N1 - 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.

PY - 2017/6

Y1 - 2017/6

N2 - 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.

AB - 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.

U2 - 10.1111/lang.12232

DO - 10.1111/lang.12232

M3 - Journal article

VL - 67

SP - 180

EP - 208

JO - Language Learning

JF - Language Learning

SN - 0023-8333

IS - Suppl. 1

ER -