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- W4366548757 abstract "A sharp tension exists about the nature of human language between two opposite parties: those who believe that statistical surface distributions, in particular using measures like surprisal, provide a better understanding of language processing, vs. those who believe that discrete hierarchical structures implementing linguistic information such as syntactic ones are a better tool. In this paper, we show that this dichotomy is a false one. Relying on the fact that statistical measures can be defined on the basis of either structural or non-structural models, we provide empirical evidence that only models of surprisal that reflect syntactic structure are able to account for language regularities. One-sentence summary Language processing does not only rely on some statistical surface distributions, but it needs to be integrated with syntactic information." @default.
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- W4366548757 date "2023-04-20" @default.
- W4366548757 modified "2023-10-09" @default.
- W4366548757 title "False perspectives on human language: Why statistics needs linguistics" @default.
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- W4366548757 doi "https://doi.org/10.3389/flang.2023.1178932" @default.
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