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Hits 1 – 20 of 70
1
Bayesian data analysis in the phonetic sciences: A tutorial introduction ...
Vasishth, Shravan
. - : Open Science Framework, 2022
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2
Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning ...
Ponti, Edoardo
. - : Apollo - University of Cambridge Repository, 2021
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3
A cascaded unsupervised model for PoS tagging
Bölücü, Necva
;
Can, Burcu
In: 20 ; 1 (2021)
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4
Concord begets concord: A Bayesian model of nominal concord typology
Mahowald, Kyle
;
Jurafsky, Dan
;
Norris, Mark
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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5
The effects of individual differences and linguistic features on reading comprehension of health-related texts ...
Ratajczak, Michael
. - : Lancaster University, 2020
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6
Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning
Ponti, Edoardo
. - : University of Cambridge, 2020. : St Johns, 2020
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7
Immature Representation or Immature Deployment? Modeling Child Pronoun Resolution
Forsythe, Hannah
;
Pearl, Lisa
In: Proceedings of the Society for Computation in Linguistics (2020)
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8
Unsupervised word discovery for computational language documentation ; Découverte non-supervisée de mots pour outiller la linguistique de terrain
Godard, Pierre
. - : HAL CCSD, 2019
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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9
Face Perception: The Interaction of Eye Movements with Internal Face Representations
Tsank, Yuliy
. - : eScholarship, University of California, 2019
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10
Multilevel models for the analysis of linguistic data ...
Alexander, Craig
. - : University of Glasgow, 2019
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11
Dominant words rise to the top by positive frequency-dependent selection.
Calude, Andreea S.
;
Verkerk, Annemarie
;
Pagel, Mark
. - 2019
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12
Representing linguistic knowledge with probabilistic models
Meylan, Stephan Charles
. - : eScholarship, University of California, 2018
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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13
Non-parametric Bayesian models for structured output prediction ...
Bratières, Sébastien
. - : Apollo - University of Cambridge Repository, 2018
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14
Unsupervised Mining and Summarization of Polarized Contentious Issues from Online Text
Trabelsi, Amine
. - : University of Alberta. Department of Computing Science., 2018
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15
Non-parametric Bayesian models for structured output prediction
Bratières, Sébastien
. - : University of Cambridge, 2018. : Department of Engineering, 2018. : King's College, 2018
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16
Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses
Chopin, Nicolas
;
Nicenboim, Bruno
;
Vasishth, Shravan
. - 2018
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17
Adding types, but not tokens, affects the breadth of property induction ; COGSCI 2018 Proceedings
Xie, B
;
Hayes, BK
;
Navarro, D
. - : Cognitive Science Society, 2018
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18
Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
Dzhambazov, Georgi
. - : Zenodo, 2017
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19
Knowledge-Based Probabilistic Modeling For Tracking Lyrics In Music Audio Signals ...
Dzhambazov, Georgi
. - : Zenodo, 2017
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20
Distributional model on a diet : one-shot word learning from text only
Wang, Su, 1985-
. - 2017
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