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Dependency locality as an explanatory principle for word order
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In: Prof. Levy (2022)
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| 2 |
Granularity in the Semantics of Comparison
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In: Semantics and Linguistic Theory; Proceedings of SALT 31; 550-569 ; 2163-5951 (2022)
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| 3 |
Competition from novel features drives scalar inferences in reference games
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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| 4 |
Using the Interpolated Maze Task to Assess Incremental Processing in English Relative Clauses
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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| 5 |
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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| 6 |
On Factors Influencing Typing Time: Insights from a Viral Online Typing Game
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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| 7 |
Eye Movement Traces of Linguistic Knowledge
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Abstract:
This study examines how linguistic knowledge is manifested in eye movements in reading, focusing on the effect of two key word properties: frequency and surprisal, on three progressively longer standard fixation measures: First Fixation, Gaze Duration and Total Fixation. Comparing English L1 speakers to a large and linguistically diverse group of English L2 speakers, we obtain the following results. 1) Word property effects on reading times are larger in L2 than in L1. 2) Differences between L1 and L2 speakers are substantially larger in the response to frequency than to surprisal. 3) The functional form of the relation between fixation times and frequency and surprisal in L2 is superlinear. 4) In L2 speakers, proficiency modulates frequency effects as a U shaped function. We discuss the implications of these results on theory of language processing and acquisition, as well as the general interpretation of frequency and surprisal effects in reading.
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Keyword:
cognitive science
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URL: https://escholarship.org/uc/item/0hr535qs
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| 8 |
A Systematic Assessment of Syntactic Generalization in Neural Language Models
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In: Association for Computational Linguistics (2021)
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| 9 |
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
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In: Association for Computational Linguistics (2021)
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| 10 |
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
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In: Association for Computational Linguistics (2021)
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| 11 |
Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games
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In: Association for Computational Linguistics (2021)
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| 12 |
Cognitive Science Honors the Memory of Jeffrey Elman
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In: MIT Press (2021)
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| 13 |
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
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In: Association for Computational Linguistics (2021)
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| 14 |
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
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In: Association for Computational Linguistics (2021)
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| 15 |
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
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In: Association for Computational Linguistics (2021)
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| 16 |
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
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In: Association for Computational Linguistics (2021)
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| 17 |
Neural language models as psycholinguistic subjects: Representations of syntactic state
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In: Association for Computational Linguistics (2021)
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| 18 |
Linking artificial and human neural representations of language
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In: Association for Computational Linguistics (2021)
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| 19 |
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
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In: Association for Computational Linguistics (2021)
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| 20 |
Maze Made Easy: Better and easier measurement of incremental processing difficulty
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In: Other repository (2021)
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