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Ruhr-Universit盲t Bochum
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Character-level transformers encode complex morphological patterns as item-specific abstractions, but they struggle with generalization like humans do.
Despite capturing irregular morphological patterns during training, transformers fail to generalize these patterns to novel forms in a human-like way, highlighting a key difference between statistical learning and true morphological abstraction.
