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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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Abstract:
© 2020 Printed with the permission of Richard Futrell, Roger P. Levy, & Edward Gibson. This work focuses on explaining both grammatical universals of word order and quantitative word-order preferences in usage by means of a simple efficiency principle: dependency locality. In its simplest form, dependency locality holds that words linked in a syntactic dependency (any head–dependent relationship) should be close in linear order. We give large-scale corpus evidence that dependency locality predicts word order in both grammar and usage, beyond what would be expected from independently motivated principles, and demonstrate a means for dissociating grammar and usage in corpus studies. Finally, we discuss previously undocumented variation in dependency length and how it correlates with other linguistic features such as head direction, pro-viding a rich set of explananda for future linguistic theories.*.
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URL: https://hdl.handle.net/1721.1/138802.2
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2 |
A Systematic Assessment of Syntactic Generalization in Neural Language Models
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In: Association for Computational Linguistics (2021)
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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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Cognitive Science Honors the Memory of Jeffrey Elman
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In: MIT Press (2021)
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SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
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In: Association for Computational Linguistics (2021)
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Neural language models as psycholinguistic subjects: Representations of syntactic state
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In: Association for Computational Linguistics (2021)
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Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
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In: Association for Computational Linguistics (2021)
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Maze Made Easy: Better and easier measurement of incremental processing difficulty
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In: Other repository (2021)
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9 |
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication ...
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Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
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Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
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In: Prof. Fedorenko (2021)
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Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference
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In: PLoS (2021)
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Assessing Language Proficiency from Eye Movements in Reading
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In: Association for Computational Linguistics (2021)
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14 |
Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections
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In: Sage (2021)
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15 |
Language Learning and Processing in People and Machines
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In: Association for Computational Linguistics (2021)
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16 |
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
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In: Wiley (2021)
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A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ...
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A Rate–Distortion view of human pragmatic reasoning
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Implicit Gender Bias in Linguistic Descriptions for Expected Events: The Cases of the 2016 United States and 2017 United Kingdom Elections ...
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