<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="clark-etal-2026-readers">
    <titleInfo>
        <title>Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Thomas</namePart>
        <namePart type="given">Hikaru</namePart>
        <namePart type="family">Clark</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Roger</namePart>
        <namePart type="given">P</namePart>
        <namePart type="family">Levy</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Edward</namePart>
        <namePart type="family">Gibson</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-07</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 30th Conference on Computational Natural Language Learning</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Claire</namePart>
            <namePart type="family">Bonial</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Yevgeni</namePart>
            <namePart type="family">Berzak</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">San Diego, California, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-410-1</identifier>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">clark-etal-2026-readers</identifier>
    <location>
        <url>https://aclanthology.org/2026.conll-main.25/</url>
    </location>
    <part>
        <date>2026-07</date>
        <extent unit="page">
            <start>435</start>
            <end>451</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences
%A Clark, Thomas Hikaru
%A Levy, Roger P.
%A Gibson, Edward
%Y Bonial, Claire
%Y Berzak, Yevgeni
%S Proceedings of the 30th Conference on Computational Natural Language Learning
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-410-1
%F clark-etal-2026-readers
%X 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.
%U https://aclanthology.org/2026.conll-main.25/
%P 435-451

Markdown (Informal)

[Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences](https://aclanthology.org/2026.conll-main.25/) (Clark et al., CoNLL 2026)

• Readers make targeted regressions to plausible errors in reanalysis of “noisy-channel garden-path” sentences (Clark et al., CoNLL 2026)

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.