Probabilistic models of language processing and acquisition

Cited by (414)

Items 101–200 of 414

1. The role of abstraction in non-native speech perception
   Bożena Pająk, Roger Lévy · 2014 · Journal of Phonetics
2. A Switching Observer for Human Perceptual Estimation
   Steeve Laquitaine, Justin L. Gardner · 2017 · Neuron
3. Fast Pairs: A visual word recognition paradigm for measuring entrenchment, top-down effects, and subjective phenomenology
   Catherine L. Caldwell‐Harris, Alison L. Morris · 2008 · Consciousness and Cognition
4. A story about statistical learning in a story: Regularities impact eye movements during book reading
   Joshua Snell, Jan Theeuwes · 2020 · Journal of Memory and Language
5. An interventionist approach to psychological explanation
   Michael Rescorla · 2017 · Synthese
6. The evolutionary origin of Bayesian heuristics and finite memory
   Andrew W. Lo, Ruixun Zhang · 2021 · iScience
7. Behavioral and computational aspects of language and its acquisition
   Shimon Edelman, Heidi Waterfall · 2007 · Physics of Life Reviews
8. Computational Modeling of Human Language Acquisition
   Afra Alishahi · 2011 · Synthesis lectures on human language technologies
9. A primer on probabilistic inference
   Thomas L. Griffiths, Alan Yuille · 2008 · Oxford University Press eBooks
10. A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word‐Order Universal
    Jennifer Culbertson, Paul Smolensky · 2012 · Cognitive Science
11. Judging the Probability of Hypotheses Versus the Impact of Evidence: Which Form of Inductive Inference Is More Accurate and Time‐Consistent?
    Katya Tentori, Nick Chater A, Vincenzo Crupi · 2015 · Cognitive Science
12. Agrammatic output in non-fluent, including Broca’s, aphasia as a rational behavior
    Evelina G. Fedorenko, Rachel Anna Ryskin, Edward A. F. Gibson · 2022 · Aphasiology
13. Structures and distributions in morphology learning
    Charles D Yang, Erwin Chan · 2008
14. The emergence of language as a complex adaptive system
    Nick C. Ellis · 2015 · Routledge eBooks
15. Cognitive Approaches to Second Language Acquisition
    Nick C. Ellis, Stefanie Wulff · 2019 · Cambridge University Press eBooks
16. An Experiment on Behavior Generalization and the Emergence of Linguistic Compositionality in Evolving Robots
    Elio Tuci, Tomassino Ferrauto, Arne Zeschel, Gianluca Massera, Stefano Nolfi · 2011 · IEEE Transactions on Autonomous Mental Development
17. Complex Probabilistic Inference
    Samuel Joseph Gershman, Jeffrey M. Beck · 2017 · Wiley eBooks
18. Combining Background Knowledge and Learned Topics
    Mark Steyvers, Padhraic Smyth, Chaitanya Chemuduganta · 2010 · Topics in Cognitive Science
19. Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real-time model updating
    Ina Bornkessel‐Schlesewsky, Isabella Sharrad, Caitlin A. Howlett, Phillip M. Alday, Andrew W. Corcoran, Valeria Bellan, Erica M. Wilkinson, Reinhold M. Kliegl, Richard L. Lewis, Steven L. Small et al. · 2022 · Frontiers in Psychology
20. The thematic hierarchy in sentence comprehension: A study on the interaction between verb class and word order in Spanish
    Carolina Gattei, Michael Walsh Dickey, Alejandro Javier Wainselboim, Luis París · 2014 · Quarterly Journal of Experimental Psychology
21. Bayesian Models of Individual Differences
    Georgie Powell, Zoe Meredith, Rebecca McMillin, Tom C. A. Freeman · 2016 · Psychological Science
22. The Bayesian revolution approaches psychological development
    Thomas R. Shultz · 2007 · Developmental Science
23. Time During Time: Multi-scalar Temporal Cognition
    Jens Koed Madsen · 2017 · Springer eBooks
24. Stimulus set size and statistical coverage of the grammar in artificial grammar learning
    Fenna H. Poletiek, Tessa J.P. van Schijndel · 2009 · Psychonomic Bulletin & Review
25. Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
    Ole J. Mengshoel, David C. Wilkins, Dan Roth · 2006 · Artificial Intelligence
26. Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
    Tuan Anh Le, Adam R. Kosiorek, Siddharth, N., Yee Whye Teh, Frank Wood · 2018 · arXiv (Cornell University)
27. The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times.
    Jian-Qiao Zhu, Joakim Sundh, Jake Spicer, Nick Chater A, Adam N. Sanborn · 2023 · Psychological Review
28. The impact of instruction on second-language implicit knowledge: Evidence against encapsulation
    P. Toth, P. Guijarro-Fuentes · 2012 · Applied Psycholinguistics
29. Noise in Cognition: Bug or Feature?
    Adam N. Sanborn, Jian-Qiao Zhu, Jake Spicer, Pablo León-Villagrá, Lucas Castillo, Johanna K. Falbén, Yun-Xiao Li, Aidan Tee, Nick Chater · 2025 · Perspectives on Psychological Science
30. Lexical stress assignment as a problem of probabilistic inference
    Olessia Jouravlev, Stephen J. Lupker · 2015 · Psychonomic Bulletin & Review
31. The Adaptive Markets Hypothesis
    Andrew W. Lo, Ruixun Zhang · 2024
32. Learning Orthographic Structure With Sequential Generative Neural Networks
    Alberto Testolin, Ivilin Peev Stoianov, Alessandro Sperduti, Marco Zorzi · 2015 · Cognitive Science
33. Definition of language and linguistics: basic competence
    Peter V. Oviogun, Pal S. Veerdee · 2020 · Macrolinguistics and Microlinguistics
34. Predictive coding I: Introduction
    Mark D. Sprevak · 2023 · Philosophy Compass
35. Supervised versus Unsupervised Categorization: Two Sides of the Same Coin?
    Emmanuel M. Pothos, Darren J. Edwards, Amotz Perlman · 2011 · Quarterly Journal of Experimental Psychology
36. Inferential Role Semantics for Natural Language
    Peter Blouw · 2017 · eScholarship (California Digital Library)
37. The uncertain reasoner: Bayes, logic, and rationality
    Mike Oaksford, Nick Chater · 2009 · Behavioral and Brain Sciences
38. When Can Predictive Brains be Truly Bayesian?
    Mark Blokpoel, Johan Kwisthout, Iris van Rooij · 2012 · Frontiers in Psychology
39. Effects of Word Frequency and Transitional Probability on Word Reading Durations of Younger and Older Speakers
    Cornelia Moers, Antje S. Meyer, Esther Janse · 2016 · Language and Speech
40. Deep Analogical Inference as the Origin of Hypotheses
    Mark Blokpoel, Todd Wareham, Pim Haselager, Ivan Toni, Iris van Rooij · 2019 · The Journal of Problem Solving
41. Brain Language Mechanisms Built on Action and Perception
    Friedemann Pulvermüller A, Luciano Fadiga · 2015 · Elsevier eBooks
42. Statistical Learning, Inductive Bias, and Bayesian Inference in Language Acquisition
    Lisa Pearl, Sharon J. Goldwater · 2016 · Oxford University Press eBooks
43. Interpreting Silent Gesture: Cognitive Biases and Rational Inference in Emerging Language Systems
    Marieke Schouwstra, Henriëtte de Swart, Bill Thompson · 2019 · Cognitive Science
44. An Agent-Based Model of Public Participation in Sustainability Management
    Robert W. Aguirre, TIMOTHY L. NYERGES · 2014 · Journal of Artificial Societies and Social Simulation
45. Statistical Learning and the Effect of Starting Small in Developmental Dyslexia
    Dorottya Dobó, Krisztina Sára Lukics, Ágnes Szöllősi, Kornél Németh, Ágnes Lukács · 2021 · Journal of Speech Language and Hearing Research
46. Sensitivity of human auditory cortex to rapid frequency modulation revealed by multivariate representational similarity analysis
    Marc F. Joanisse · 2014 · Frontiers in Neuroscience
47. Modality, presentation, domain and training effects in statistical learning
    K. S. Lukics, Á. Lukács · 2022 · Scientific Reports
48. Defining urban soil geochemical backgrounds: A review for application to the French context
    Stéphane Belbeze, Jérémy Rohmer, Philippe Négrel, Dominique Guyonnet · 2023 · Journal of Geochemical Exploration
49. In Search of the Factors Behind Naive Sentence Judgments: A State Trace Analysis of Grammaticality and Acceptability Ratings
    Steven Langsford, Rachel Stephens, John C. Dunn, Richard L. Lewis · 2019 · Frontiers in Psychology
50. The Simplicity and Power model for inductive inference
    Emmanuel M. Pothos, James Gerard Wolff · 2006 · Artificial Intelligence Review
51. Computational evaluation of the Traceback Method
    Sheli Kol, Bracha Nir, Shuly Wintner · 2013 · Journal of Child Language
52. When Rituals Fail: Rationalization, Bayesianism, and Predictive Processing
    Ze Hong · 2025 · Evolutionary Anthropology Issues News and Reviews
53. Social Inference May Guide Early Lexical Learning
    Alayo Tripp, Naomi H. Feldman, William J. Idsardi · 2021 · Frontiers in Psychology
54. Sensitivity to probabilistic orthographic cues to lexical stress in adolescent speakers with autism spectrum disorder and typical peers
    Joanne Arciuli, Rhea Paul · 2012 · Quarterly Journal of Experimental Psychology
55. Derivational suffixes as cues to stress position in reading Greek
    Aikaterini Grimani, Athanassios Protopapas · 2016 · Journal of Research in Reading
56. Architecture of the mind and libertarian paternalism: is the reversibility of system 1 nudges likely to happen?
    Riccardo Viale · 2019 · Mind & Society
57. Neurocognitive Correlates of Statistical Learning of Orthographic–Semantic Connections in Chinese Adult Learners
    Xiuhong Tong, Yi Wang, Shelley Xiuli Tong · 2020 · Neuroscience Bulletin
58. Bayesian Inference
    Thomas L. Griffiths, Joshua B. Tenenbaum, Charles Kemp · 2012 · Oxford University Press eBooks
59. Face-to-face contact during infancy: How the development of gaze to faces feeds into infants’ vocabulary outcomes
    Zsofia Belteki, Carlijn van den Boomen, Caroline Junge · 2022 · Frontiers in Psychology
60. Calibrating generative models: The probabilistic Chomsky–Schützenberger hierarchy
    Thomas Icard · 2020 · Journal of Mathematical Psychology
61. Tuning in to non-adjacencies: Exposure to learnable patterns supports discovering otherwise difficult structures
    Martin Zettersten, Christine E. Potter, Jenny R. Saffran · 2020 · Cognition
62. Compositionality in rational analysis: grammar-based induction for concept learning
    Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths, Jacob Feldman · 2008
63. Concept Learning in Text Comprehension
    Manas S. Hardas, Javed Khan · 2010 · Lecture notes in computer science
64. Rationality as a Constitutive Ideal
    Michael Rescorla · 2013
65. Introduction to the Special Issue: Parsimony and Redundancy in Models of Language
    Daniel Wiechmann, Elma Kerz, Neal Snider, T. Florian Jaeger · 2013 · Language and Speech
66. Surprising parser actions and reading difficulty
    Marisa Ferrara Boston, John Hale, Reinhold M. Kliegl, Shravan Vasishth · 2008 · Proceedings of the conference - Association for Computational Linguistics. Meeting
67. Understanding considerate systems — UCS (pronounced: You see us)
    Ted Selker · 2010 · International Conference on Collaboration Technologies and Systems (CTS)
68. Computational and Robotic Models of Early Language Development
    Pierre‐Yves Oudeyer, George Kachergis, William Schueller · 2019 · Routledge eBooks
69. Cognitive bots and algorithmic humans: toward a shared understanding of social intelligence
    Kelsey R. McDonald, John M Pearson · 2019 · Current Opinion in Behavioral Sciences
70. Phonation biomechanic analysis of Alzheimer׳s Disease cases
    Pedro Gómez‐Vilda, V. Rodellar, Victor Nieto‐Lluis, Karmele López de Ipiña, Agustín Álvarez-Marquina, R. Martínez, Mirian Ecay‐Torres, Pablo Martínez‐Lage · 2015 · Neurocomputing
71. A Deep Learning Approach with Feature Derivation and Selection for Overdue Repayment Forecasting
    Bin Liu, Zhexi Zhang, Junchi Yan, Ning Zhang, Hongyuan Zha B, Guofu Li, Yanting Li, Quan Yu · 2020 · Applied Sciences
72. Rational constructivism: A new way to bridge rationalism and empiricism
    Alison Gopnik C · 2009 · Behavioral and Brain Sciences
73. Computational Modeling of Human Language Acquisition
    Afra Alishahi · 2010 · Synthesis lectures on human language technologies
74. Bayesian teaching enables probabilistic reasoning in large language models
    Linlu Qiu, Fei Sha, Kelsey Rebecca Allen, Yoon Kim, Tal Linzen, Sjoerd van Steenkiste · 2026 · Nature Communications
75. Putting Broca’s region into context: fMRI evidence for a role in predictive language processing
    Line Burholt Kristensen, Mikkel Wallentin · 2015 · Cambridge University Press eBooks
76. Evaluating the inverse reasoning account of object discovery
    Christopher D. Carroll, Charles Kemp · 2015 · Cognition
77. Explaining more by drawing on less
    Ulrike Hahn · 2009 · Behavioral and Brain Sciences
78. Sampling Assumptions Affect Use of Indirect Negative Evidence in Language Learning
    Anne Hsu, Thomas L. Griffiths · 2016 · PLoS ONE
79. Biology, culture, evolution and the cognitive nature of sound systems
    Bart de Boer · 2015 · Journal of Phonetics
80. Shopping behavior recognition using a language modeling analogy
    Mirela Carmia Popa, Léon J. M. Rothkrantz, Pascal Wiggers, Caifeng Shan · 2012 · Pattern Recognition Letters
81. Revisiting Reweighted Wake-Sleep
    Tuan Anh Lê, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood · 2018 · arXiv (Cornell University)
82. Computational Modeling
    Ping Li, Xiaowei Zhao · 2017
83. Scalar bounds and expected values of comparatively modified numerals
    Christoph Hesse, Anton Benz · 2019 · Journal of Memory and Language
84. Artificial Intelligence and High-Level Cognition
    Marco Ragni · 2020 · Springer eBooks
85. Mental Computations of Ideological Choice and Conviction: The Utility of Integrating Psycho-Economics and Bayesian Models of Belief
    Leor Zmigrod · 2022 · Psychological Inquiry
86. How do people predict a random walk? Lessons for models of human cognition.
    Jake Spicer, Jian-Qiao Zhu, Nick Chater A, Adam N. Sanborn · 2024 · Psychological Review
87. Inductive Logic and Empirical Psychology
    Nick Chater A, Mike Oaksford, Ulrike Hahn, Evan Heit · 2011 · Handbook of the history of logic
88. A case for human systems neuroscience
    Justin L. Gardner · 2014 · Neuroscience
89. Sampling as the Human Approximation to Probabilistic Inference
    Adam N. Sanborn, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Nick Chater A · 2021 · Oxford University Press eBooks
90. Review 2. Rationality and its Discontents
    Herbert M. Gintis · 2010 · The Economic Journal
91. The new Tweety puzzle: arguments against monistic Bayesian approaches in epistemology and cognitive science
    Matthias Unterhuber, Gerhard Schurz · 2012 · Synthese
92. A graph based named entity disambiguation using clique partitioning and semantic relatedness
    Ramla Belalta, Mouhoub Belazzoug, Farid Meziane · 2024 · Data & Knowledge Engineering
93. Approach Towards a Natural Language Analysis for Diagnosing Mood Disorders and Comorbid Conditions
    Newton Howard · 2013 · Mexican International Conference on Artificial Intelligence
94. Dynamical Asymmetries, the Bayes’ Theorem, Entanglement, and Intentionality in the Brain Functional Activity
    David Bernal‐Casas, Giuseppe Vitiello · 2023 · Symmetry
95. Neural implementation of probabilistic models of cognition
    Milad Kharratzadeh, Thomas R. Shultz · 2016 · Cognitive Systems Research
96. Computational Learning of Syntax
    Alexander Clark · 2016 · Annual Review of Linguistics
97. Learnability, representation, and language: a bayesian approach
    Andrew Perfors · 2008
98. Inductive inference in non-native speech processing and learning
    Bożena Pająk · 2012 · eScholarship (California Digital Library)
99. Frequency shapes syntactic structure*
    H. Diessel · 2015 · Journal of Child Language
100. On the resolution of phonological constraints in spoken production: Acoustic and response time evidence
     Audrey Bürki, Ulrich Hans Frauenfelder, F.‐Xavier Alario · 2015 · The Journal of the Acoustical Society of America