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An Information Retrieval Approach to Facilitating Second Language Learning

Data driven language learning promotes learner autonomy and discovery learning by providing learners with authentic foreign language data for self-directed or guided exploration. However, the effective use of corpora data requires a certain level of linguistic knowledge. We propose an information retrieval augmentation to concordance for adapting to self-directed context of independent learners. The approach involves an expression element model and a retrieving mechanism so as to reduce linguistic threshold and enhance learner empowerment. Simulation results with English proficiency tests and students’ writing samples support the effectiveness of the approach.