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A verb-frame frequency account of constraints on long-distance dependencies in English
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In: Prof. Gibson (2022)
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| 2 |
Dependency locality as an explanatory principle for word order
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In: Prof. Levy (2022)
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| 3 |
Extraction from subjects: Differences in acceptability depend on the discourse function of the construction
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In: Prof. Gibson (2022)
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| 4 |
Syntactic dependencies correspond to word pairs with high mutual information
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In: Association for Computational Linguistics (2021)
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| 5 |
Word Order Predicts Cross‐Linguistic Differences in the Production of Redundant Color and Number Modifiers
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In: MIT web domain (2021)
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| 6 |
Communication efficiency of color naming across languages provides a new framework for the evolution of color terms
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In: PMC (2021)
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| 7 |
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
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In: Springer Netherlands (2020)
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| 8 |
How Efficiency Shapes Human Language ; How Efficiency Shapes Human Language, TICS 2019
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In: Prof. Levy via Courtney Crummett (2019)
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| 9 |
Comprehenders model the nature of noise in the environment
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In: PMC (2019)
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| 10 |
Partial Truths: Adults Choose to Mention Agents and Patients in Proportion to Informativity, Even If It Doesn’t Fully Disambiguate the Message
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In: MIT Press (2019)
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| 11 |
Word Forms Are Structured for Efficient Use
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In: Prof. Gibson via Courtney Crummett (2018)
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| 12 |
Color naming across languages reflects color use
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In: National Academy of Sciences (2018)
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| 13 |
Tracking Colisteners’ Knowledge States During Language Comprehension
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In: Prof. Gibson via Courtney Crummett (2018)
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| 14 |
SNAP judgments: A small N acceptability paradigm (SNAP) for linguistic acceptability judgments: Online Appendices
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In: Language (2018)
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Abstract:
‘z-bad’ is the average z-score for the hypothesized ‘bad’ option. ‘z-good’ is the average z-score for the hypothesized good option. ‘Z.diff’ is the difference between z-good and z-bad and is the effect size. Beta is the estimate from the linear mixed-effects model, which has a standard error ‘SE’ and a t-value ‘t’. ‘χ²’ is the chi-squared value comparing the full model to an intercept-only model, and ‘χ² p’ is the p-value obtained by that comparison. Simple ‘p’ is just the p-value calculated using the t-value. Pred is TRUE if the effect goes in the significant direction. Sig is TRUE if there is a significant effect.
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URL: http://hdl.handle.net/1721.1/114479
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| 15 |
Words cluster phonetically beyond phonotactic regularities
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In: Prof. Gibson via Courtney Crummett (2017)
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| 16 |
A meta-analysis of syntactic priming in language production
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In: Prof. Gibson via Courtney Crummett (2016)
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| 17 |
Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages
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In: Prof. Gibson via Courtney Crummett (2016)
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| 18 |
Processing temporal presuppositions: an event-related potential study
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In: Prof. Gibson via Courtney Crummett (2016)
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| 19 |
L2 processing as noisy channel language comprehension
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In: Prof. Gibson via Courtney Crummett (2016)
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| 20 |
Don’t Underestimate the Benefits of Being Misunderstood
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In: Prof. Gibson via Courtney Crummett (2016)
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