Papers by Jacob Hoover Vigly

1 papers
Resource-Rational Noisy-Channel Language Processing: Testing the Effect of Algorithmic Constraints on Inferences (2025.emnlp-main)

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Challenge: a fundamental question in psycholinguistics is how comprehenders form interpretations of utterances that they hear or see.
Approach: They propose to use a language model as a prior and an error model to encode likelihoods to perform incremental and approximate probabilistic inferences over intended sentences and production errors.
Outcome: The proposed model captures previously established patterns in human sentence processing, and trade-off between human-like noisy-channel inferences and computational resources falls out of the model.

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