Modeling SLA Processes Using NLP

作者: Mathias Schulze

DOI:

关键词: Language technologyNatural language processingSpecification languageObject languageComprehension approachNatural language programmingSecond-language acquisitionArtificial intelligenceModeling languageUniversal Networking LanguageComputer science

摘要: Attempting to understand and capture the complex dynamic nature of language learning processes is a non-trivial task for researchers in Second Language Acquisition (SLA) Computer-Assisted Learning (CALL). After sketching major developments SLA student modeling Intelligent CALL—the intersection Artficial Intelligence CALL—this paper proposes conceptual framework proficiency students using example Mocha project. The main project goals are outlined. Dynamic Systems Theory Construction Grammar motivated as theoretical foundation our thinking about modeling.

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