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• W2889024690 abstract "It has been argued that humans rapidly adapt their lexical and syntactic expectations to match the statistics of the current linguistic context. We provide further support to this claim by showing that the addition of a simple adaptation mechanism to a neural language model improves our predictions of human reading times compared to a non-adaptive model. We analyze the performance of the model on controlled materials from psycholinguistic experiments and show that it adapts not only to lexical items but also to abstract syntactic structures." @default.
• W2889024690 created "2018-09-07" @default.
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• W2889024690 date "2018-08-29" @default.
• W2889024690 modified "2023-09-23" @default.
• W2889024690 title "A Neural Model of Adaptation in Reading" @default.
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