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Bayesian data analysis in the phonetic sciences: A tutorial introduction ...
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Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning ...
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A cascaded unsupervised model for PoS tagging
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In: 20 ; 1 (2021)
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Concord begets concord: A Bayesian model of nominal concord typology
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In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 541–555 ; 2473-8689 (2021)
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The effects of individual differences and linguistic features on reading comprehension of health-related texts ...
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Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning
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Immature Representation or Immature Deployment? Modeling Child Pronoun Resolution
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Unsupervised word discovery for computational language documentation ; Découverte non-supervisée de mots pour outiller la linguistique de terrain
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In: https://tel.archives-ouvertes.fr/tel-02286425 ; Artificial Intelligence [cs.AI]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS062⟩ (2019)
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Face Perception: The Interaction of Eye Movements with Internal Face Representations
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Tsank, Yuliy. - : eScholarship, University of California, 2019
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Dominant words rise to the top by positive frequency-dependent selection.
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Representing linguistic knowledge with probabilistic models
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In: Meylan, Stephan Charles. (2018). Representing linguistic knowledge with probabilistic models. UC Berkeley: Psychology. Retrieved from: http://www.escholarship.org/uc/item/5vp920sn (2018)
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Non-parametric Bayesian models for structured output prediction ...
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Unsupervised Mining and Summarization of Polarized Contentious Issues from Online Text
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Trabelsi, Amine. - : University of Alberta. Department of Computing Science., 2018
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Non-parametric Bayesian models for structured output prediction
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Bratières, Sébastien. - : University of Cambridge, 2018. : Department of Engineering, 2018. : King's College, 2018
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Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses
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Adding types, but not tokens, affects the breadth of property induction ; COGSCI 2018 Proceedings
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Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
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Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
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Distributional model on a diet : one-shot word learning from text only
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