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1
Dependency locality as an explanatory principle for word order
In: Prof. Levy (2022)
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2
A Systematic Assessment of Syntactic Generalization in Neural Language Models
In: Association for Computational Linguistics (2021)
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3
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
In: Association for Computational Linguistics (2021)
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4
Cognitive Science Honors the Memory of Jeffrey Elman
In: MIT Press (2021)
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5
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models
In: Association for Computational Linguistics (2021)
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6
Neural language models as psycholinguistic subjects: Representations of syntactic state
In: Association for Computational Linguistics (2021)
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7
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
In: Association for Computational Linguistics (2021)
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8
Maze Made Easy: Better and easier measurement of incremental processing difficulty
In: Other repository (2021)
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9
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication ...
Abstract: How do adults understand children's speech? Children's productions over the course of language development often bear little resemblance to typical adult pronunciations, yet caregivers nonetheless reliably recover meaning from them. Here, we employ a suite of Bayesian models of spoken word recognition to understand how adults overcome the noisiness of child language, showing that communicative success between children and adults relies heavily on adult inferential processes. By evaluating competing models on phonetically-annotated corpora, we show that adults' recovered meanings are best predicted by prior expectations fitted specifically to the child language environment, rather than to typical adult-adult language. After quantifying the contribution of this "child-directed listening" over developmental time, we discuss the consequences for theories of language acquisition, as well as the implications for commonly-used methods for assessing children's linguistic proficiency. ... : 13 pages, 3 figures, 2 tables. Edit #1 fixes formatting on table 1 (fitting it onto a single page) and reports correct contents for table 1 (previous version reported ants, not bits) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2102.03462
https://arxiv.org/abs/2102.03462
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10
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication.
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11
Do domain-general executive resources play a role in linguistic prediction? Re-evaluation of the evidence and a path forward
In: Prof. Fedorenko (2021)
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12
Pronoun interpretation in Mandarin Chinese follows principles of Bayesian inference
In: PLoS (2021)
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13
Assessing Language Proficiency from Eye Movements in Reading
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
In: Sage (2021)
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15
Language Learning and Processing in People and Machines
In: Association for Computational Linguistics (2021)
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16
Lossy‐Context Surprisal: An Information‐Theoretic Model of Memory Effects in Sentence Processing
In: Wiley (2021)
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17
A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans ...
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18
A Rate–Distortion view of human pragmatic reasoning
In: Proceedings of the Society for Computation in Linguistics (2021)
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19
Towards a Referential Theory of Ellipsis
Poppels, Till. - : eScholarship, University of California, 2020
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20
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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