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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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Alexopoulou, Theodora; Michel, Marije; Murakami, Akira; Meurers, Detmar – Language Learning, 2017
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: How does the prompt and input of a…
Descriptors: Linguistics, Accuracy, Natural Language Processing, Linguistic Performance
Second Language Users' Restriction of Linguistic Generalization Errors: The Case of English "Un-" Prefixation Development
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Zhang, Xiaopeng – Language Learning, 2017
This study adopted Ambridge's research paradigm to examine the effects of entrenchment, preemption, and verb semantics in second language (L2) acquisition of English "un-" prefixation. Three groups of Chinese learners of English (second- and fourth-year English majors and teachers of English) rated the acceptability of 48 "un-"…
Descriptors: Generalization, Error Analysis (Language), Linguistic Performance, Language Styles