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    Rights statement: This is the author’s version of a work that was accepted for publication in Cognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Cognition, 153, 2016 DOI: 10.1016/j.cognition.2016.05.001

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Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations.

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Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations. / Twomey, Katherine Elizabeth; Chang, Franklin; Ambridge, Ben.
In: Cognition, Vol. 153, 01.08.2016, p. 124-139.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Twomey KE, Chang F, Ambridge B. Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations. Cognition. 2016 Aug 1;153:124-139. Epub 2016 May 14. doi: 10.1016/j.cognition.2016.05.001

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Bibtex

@article{d8490dff75b94b8090af6a6342942ec9,
title = "Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations.",
abstract = "Children must learn the structural biases of locative verbs in order to avoid making overgeneralisation errors (e.g., *I filled water into the glass). It is thought that they use linguistic and situational information to learn verb classes that encode structural biases. In addition to situational cues, we examined whether children and adults could use the lexical distribution of nouns in the post-verbal noun phrase to assign novel verbs to locative classes. In Experiment 1, children and adults used lexical distributional cues to assign verb classes, but were unable to use situational cues appropriately. In Experiment 2, adults generalised distributionally-learned classes to novel verb arguments, demonstrating that distributional information can cue abstract verb classes. Taken together, these studies show that human language learners can use a lexical distributional mechanism that is similar to that used by computational linguistic systems that use large unlabelled corpora to learn verb meaning.",
keywords = "Language Acquisition, Syntax acquisition, Distributional learning",
author = "Twomey, {Katherine Elizabeth} and Franklin Chang and Ben Ambridge",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Cognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Cognition, 153, 2016 DOI: 10.1016/j.cognition.2016.05.001",
year = "2016",
month = aug,
day = "1",
doi = "10.1016/j.cognition.2016.05.001",
language = "English",
volume = "153",
pages = "124--139",
journal = "Cognition",
issn = "0010-0277",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Lexical distributional cues, but not situational cues, are readily used to learn abstract locative verb-structure associations.

AU - Twomey, Katherine Elizabeth

AU - Chang, Franklin

AU - Ambridge, Ben

N1 - This is the author’s version of a work that was accepted for publication in Cognition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Cognition, 153, 2016 DOI: 10.1016/j.cognition.2016.05.001

PY - 2016/8/1

Y1 - 2016/8/1

N2 - Children must learn the structural biases of locative verbs in order to avoid making overgeneralisation errors (e.g., *I filled water into the glass). It is thought that they use linguistic and situational information to learn verb classes that encode structural biases. In addition to situational cues, we examined whether children and adults could use the lexical distribution of nouns in the post-verbal noun phrase to assign novel verbs to locative classes. In Experiment 1, children and adults used lexical distributional cues to assign verb classes, but were unable to use situational cues appropriately. In Experiment 2, adults generalised distributionally-learned classes to novel verb arguments, demonstrating that distributional information can cue abstract verb classes. Taken together, these studies show that human language learners can use a lexical distributional mechanism that is similar to that used by computational linguistic systems that use large unlabelled corpora to learn verb meaning.

AB - Children must learn the structural biases of locative verbs in order to avoid making overgeneralisation errors (e.g., *I filled water into the glass). It is thought that they use linguistic and situational information to learn verb classes that encode structural biases. In addition to situational cues, we examined whether children and adults could use the lexical distribution of nouns in the post-verbal noun phrase to assign novel verbs to locative classes. In Experiment 1, children and adults used lexical distributional cues to assign verb classes, but were unable to use situational cues appropriately. In Experiment 2, adults generalised distributionally-learned classes to novel verb arguments, demonstrating that distributional information can cue abstract verb classes. Taken together, these studies show that human language learners can use a lexical distributional mechanism that is similar to that used by computational linguistic systems that use large unlabelled corpora to learn verb meaning.

KW - Language Acquisition

KW - Syntax acquisition

KW - Distributional learning

U2 - 10.1016/j.cognition.2016.05.001

DO - 10.1016/j.cognition.2016.05.001

M3 - Journal article

VL - 153

SP - 124

EP - 139

JO - Cognition

JF - Cognition

SN - 0010-0277

ER -