Morphosyntactic but not lexical corpus-based probabilities can substitute for cloze probabilities in reading experiments.

ABSTRACT: During reading or listening, people can generate predictions about the lexical and morphosyntactic properties of upcoming input based on available context. Psycholinguistic experiments that study predictability or control for it conventionally rely on a human-based approach and estimate predictability via the cloze task. Our study investigated an alternative corpus-based approach for estimating predictability via language predictability models. We obtained cloze and corpus-based probabilities for all words in 144 Russian sentences, correlated the two measures, and found a strong correlation between them. Importantly, we estimated how much variance in eye movements registered while reading the same sentences was explained by each of the two probabilities and whether the two probabilities ex

SUBMITTER: Lopukhina A 

PROVIDER: S-EPMC7842903 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature