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Large Language Model based Situational Dialogues for Second Language Learning
In second language learning, scenario-based conversation practice is important for language learners to achieve fluency in speaking, but students often lack sufficient opportunities to practice their conversational skills with qualified instructors or native speakers.
Erroneous data generation for Grammatical Error Correction
It has been demonstrated that the utilization of a monolingual corpus in neural Grammatical Error Correction (GEC) systems can significantly improve the system performance.
CLUF: a Neural Model for Second Language Acquisition Modeling
Second Language Acquisition Modeling is the task to predict whether a second language learner would respond correctly in future exercises based on their learning history.
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