Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences

Thomas Hikaru Clark, Roger P. Levy, Edward Gibson


Abstract
A key question in psycholinguistics is how inferences about the meaning of linguistic input unfold incrementally a comprehender’s mind. In this work, we study reading dynamics for “noisy-channel garden-path” sentences, which temporarily appear well-formed but feature late-appearing violations of expectation that can be resolved not by inferring an alternative syntactic structure, but by inferring the presence of an error. We find evidence for targeted regressions – eye movements towards regions that are promising loci of possible errors in light of later-arriving information, showing patterns consistent with the posterior inferences of a model of noisy-channel processing with reanalysis. We discuss the implications of these findings for theories of noisy-channel language comprehension and information-theoretic explanations of reading dynamics.
Anthology ID:
2026.conll-main.25
Volume:
Proceedings of the 30th Conference on Computational Natural Language Learning
Month:
July
Year:
2026
Address:
San Diego, California, USA
Editors:
Claire Bonial, Yevgeni Berzak
Venues:
CoNLL | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
435–451
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.conll-main.25/
DOI:
Bibkey:
Cite (ACL):
Thomas Hikaru Clark, Roger P. Levy, and Edward Gibson. 2026. Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences. In Proceedings of the 30th Conference on Computational Natural Language Learning, pages 435–451, San Diego, California, USA. Association for Computational Linguistics.
Cite (Informal):
Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences (Clark et al., CoNLL 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.conll-main.25.pdf