Publication

Task Effects on Linguistic Complexity and Accuracy: A Large‐Scale Learner Corpus Analysis Employing Natural Language Processing Techniques

Alexopoulou, T., Michel, M., Murakami, A. & Detmar, M., Jun-2017, In : Language Learning. 67, Suppl. 1, p. 180-208 29 p.

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  • Task Effects on Linguistic Complexity and Accuracy

    Final publisher's version, 627 KB, PDF document

DOI

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.
Original languageEnglish
Pages (from-to)180-208
Number of pages29
JournalLanguage Learning
Volume67
Issue numberSuppl. 1
Publication statusPublished - Jun-2017
Externally publishedYes

    Keywords

  • s learner corpus, task complexity, complexity, accuracy, fluency (CAF), NLP, TBLT, 2ND-LANGUAGE WRITING RESEARCH, SYNTACTIC COMPLEXITY, FOREIGN-LANGUAGE, ACQUISITION, PERFORMANCE, FLUENCY, DISCOURSE, ENGLISH, FRENCH

ID: 65563034