In: Advances in Neural Information Processing Systems, vol. 5, 135–146 (2017)īrahler, C.J., Walker, D.: Learning scientific and medical terminology with a mnemonic strategy using an illogical association technique. 1(2), 126 (1975)īojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. KeywordsĪtkinson, R.C., Raugh, M.R.: An application of the mnemonic keyword method to the acquisition of a Russian vocabulary. We investigate the effectiveness of our approach via a human participant experiment by comparing it with manually generated cues. Our approach, an end-to-end pipeline for auto-generating verbal and visual cues, can automatically generate highly memorable cues. In this paper, we explore an opportunity to use large language models to automatically generate verbal and visual cues for keyword mnemonics. Beyond that, producing verbal and visual cues associated with the keyword to facilitate building these links requires a manual process and is not scalable. Keyword mnemonic is a notable learning strategy that relates new vocabulary to existing knowledge by building an acoustic and imagery link using a keyword that sounds alike.
However, the learning content, i.e., the information presented on flashcards, has mostly remained constant. In second language vocabulary learning, existing works have primarily focused on either the learning interface or scheduling personalized retrieval practices to maximize memory retention.
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