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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
Interdisciplinary Research at the Intersection of CALL, NLP, and SLA: Methodological Implications from an Input Enhancement Project
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Ziegler, Nicole; Meurers, Detmar; Rebuschat, Patrick; Ruiz, Simón; Moreno-Vega, José L.; Chinkina, Maria; Li, Wenjing; Grey, Sarah – Language Learning, 2017
Despite the promise of research conducted at the intersection of computer-assisted language learning (CALL), natural language processing, and second language acquisition, few studies have explored the potential benefits of using intelligent CALL systems to deepen our understanding of the process and products of second language (L2) learning. The…
Descriptors: Interdisciplinary Approach, Second Language Learning, Language Acquisition, Intelligent Tutoring Systems
On Using Intelligent Computer-Assisted Language Learning in Real-Life Foreign Language Teaching and Learning
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Amaral, Luiz A.; Meurers, Detmar – ReCALL, 2011
This paper explores the motivation and prerequisites for successful integration of Intelligent Computer-Assisted Language Learning (ICALL) tools into current foreign language teaching and learning (FLTL) practice. We focus on two aspects, which we argue to be important for effective ICALL system development and use: (i) the relationship between…
Descriptors: Second Language Instruction, Second Language Learning, Computer Assisted Instruction, Educational Technology
Analyzing Learner Language: Towards a Flexible Natural Language Processing Architecture for Intelligent Language Tutors
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Amaral, Luiz; Meurers, Detmar; Ziai, Ramon – Computer Assisted Language Learning, 2011
Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…
Descriptors: Feedback (Response), Second Language Learning, Intelligent Tutoring Systems, Information Management