An EM-type algorithm jointly learns interpretable mnemonic rules and learner/kanji traits, yielding modest cold-start gains over fine-tuning for kanji mnemonic generation.
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Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
An EM-type algorithm jointly learns interpretable mnemonic rules and learner/kanji traits, yielding modest cold-start gains over fine-tuning for kanji mnemonic generation.