Search Results - Wilcox, Ethan Gotlieb

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  1. 1
    Using Computational Models to Test Syntactic Learnability

    Using Computational Models to Test Syntactic Learnability by Wilcox, Ethan Gotlieb, Futrell, Richard, Levy, Roger

    Published in Linguistic inquiry
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  2. 2
    An information-theoretic analysis of targeted regressions during reading

    An information-theoretic analysis of targeted regressions during reading by Wilcox, Ethan Gotlieb, Pimentel, Tiago, Meister, Clara, Cotterell, Ryan

    Published in Cognition
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  3. 3
    Mouse Tracking for Reading (MoTR): A new naturalistic incremental processing measurement tool

    Mouse Tracking for Reading (MoTR): A new naturalistic incremental processing measurement tool by Wilcox, Ethan Gotlieb, Ding, Cui, Sachan, Mrinmaya, Jäger, Lena Ann

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  4. 4
    On the Role of Context in Reading Time Prediction

    On the Role of Context in Reading Time Prediction by Opedal, Andreas, Chodroff, Eleanor, Cotterell, Ryan, Ethan Gotlieb Wilcox

    Published in arXiv.org
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  5. 5
    A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans

    A Targeted Assessment of Incremental Processing in Neural LanguageModels and Humans by Ethan Gotlieb Wilcox, Pranali Vani, Levy, Roger P

    Published in arXiv.org
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  6. 6
    Reverse-Engineering the Reader

    Reverse-Engineering the Reader by Kiegeland, Samuel, Ethan Gotlieb Wilcox, Amini, Afra, Reich, David Robert, Cotterell, Ryan

    Published in arXiv.org
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  7. 7
    Testing the Predictions of Surprisal Theory in 11 Languages

    Testing the Predictions of Surprisal Theory in 11 Languages by Ethan Gotlieb Wilcox, Pimentel, Tiago, Meister, Clara, Cotterell, Ryan, Levy, Roger P

    Published in arXiv.org
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  8. 8
    Revisiting the Optimality of Word Lengths

    Revisiting the Optimality of Word Lengths by Pimentel, Tiago, Meister, Clara, Ethan Gotlieb Wilcox, Mahowald, Kyle, Cotterell, Ryan

    Published in arXiv.org
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  9. 9
    Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

    Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora by Hu, Michael Y, Mueller, Aaron, Ross, Candace, Williams, Adina, Linzen, Tal, Zhuang, Chengxu, Cotterell, Ryan, Leshem Choshen, Warstadt, Alex, Ethan Gotlieb Wilcox

    Published in arXiv.org
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  10. 10
    On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior

    On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior by Ethan Gotlieb Wilcox, Gauthier, Jon, Hu, Jennifer, Peng Qian, Levy, Roger

    Published in arXiv.org
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