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Article

Evaluating information-theoretic measures of word prediction in naturalistic sentence reading

2019-08-01

Abstract excerpt

<p>We review information-theoretic measures of cognitive load during sentence processing that have been used to quantify word prediction effort. Two such measures, surprisal and next-word entropy, suffer from shortcomings when employed for a predictive processing view. We propose a novel metric, lookahead information gain, that can overcome these short-comings. We estimate the different measures using probabilisti...

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Literature Corpus work
881483c9-3a33-58d9-bf25-6a8e21f169ef
DOI
10.31234/osf.io/j83xy
Open publication

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Evaluating information-theoretic measures of word prediction in naturalistic sentence readingDOI 10.31234/osf.io/j83xy
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