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Lexical representation explains cortical entrainment during speech comprehension

PloS one, 2018-05, Vol.13 (5), p.e0197304-e0197304

2018

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Prediction During Natural Language Comprehension

Cerebral cortex (New York, N.Y. 1991), 2016-06, Vol.26 (6), p.2506-2516

2016

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Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain

PloS one, 2017-05, Vol.12 (5), p.e0177794-e0177794

2017

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How hierarchical is language use?

Proceedings of the Royal Society. B, Biological sciences, 2012-11, Vol.279 (1747), p.4522-4531

2012

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Probabilistic language models in cognitive neuroscience: Promises and pitfalls

Neuroscience and biobehavioral reviews, 2017-12, Vol.83, p.579-588

2017

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The male bias of a generically-intended masculine pronoun: Evidence from eye-tracking and sentence evaluation

PloS one, 2021-04, Vol.16 (4), p.e0249309-e0249309

2021

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Evaluating information-theoretic measures of word prediction in naturalistic sentence reading

Neuropsychologia, 2019-11, Vol.134, p.107198-107198, Article 107198

2019

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The ERP response to the amount of information conveyed by words in sentences

Brain and language, 2015-01, Vol.140, p.1-11

2015

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Unsupervised Text Segmentation Predicts Eye Fixations During Reading

Frontiers in artificial intelligence, 2022-02, Vol.5, p.731615-731615

2022

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Word predictability and semantic similarity show distinct patterns of brain activity during language comprehension

Language, cognition and neuroscience, 2017-10, Vol.32 (9), p.1192-1203

2017

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An eye-tracking-with-EEG coregistration corpus of narrative sentences

Language resources and evaluation, 2024-06, Vol.58 (2), p.641-657

2024

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Is structural priming between different languages a learning effect? Modelling priming as error-driven implicit learning

Language, cognition and neuroscience, 2023-04, Vol.38 (4), p.537-557

2023

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Learning semantic sentence representations from visually grounded language without lexical knowledge

Natural language engineering, 2019-07, Vol.25 (4), p.451-466

2019

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Modelling Human Word Learning and Recognition Using Visually Grounded Speech

Cognitive computation, 2023, Vol.15 (1), p.272-288

2023

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Sentence Comprehension as Mental Simulation: An Information-Theoretic Perspective

Information (Basel), 2011-12, Vol.2 (4), p.672-696

2011

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Reservoir computing and the Sooner-is-Better bottleneck

The Behavioral and brain sciences, 2016-01, Vol.39, p.e73-e73, Article e73

2016

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Testing the effectiveness of the Internet-based instrument PsyToolkit: A comparison between web-based (PsyToolkit) and lab-based (E-Prime 3.0) measurements of response choice and response time in a complex psycholinguistic task

PloS one, 2019-09, Vol.14 (9), p.e0221802-e0221802

2019

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Sentence-processing in echo state networks: a qualitative analysis by finite state machine extraction

Connection science, 2010-06, Vol.22 (2), p.135-155

2010

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Resolution of grammatical tense into actual time, and its application in Time Perspective study in the tweet space

PloS one, 2019-02, Vol.14 (2), p.e0211872-e0211872

2019

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Strong Systematicity in Sentence Processing by an Echo State Network

Artificial Neural Networks – ICANN 2006, 2006, p.505-514

2006

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Learn more by training less: systematicity in sentence processing by recurrent networks

Connection science, 2006-09, Vol.18 (3), p.287-302

Frank, Stefan L.

2006

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Hierarchical and sequential processing of language: A response to: Ding, Melloni, Tian, and Poeppel (2017). Rule-based and word-level statistics-based processing of language: insights from neuroscience. Language, Cognition and Neuroscience

Language, cognition and neuroscience, 2018-10, Vol.33 (9), p.1213-1218

2018

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Automated Abstraction of Dynamic Neural Systems for Natural Language Processing

2007 International Joint Conference on Neural Networks, 2007, p.1446-1451

2007

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Expression of tissue factor in pancreatic adenocarcinoma is associated with activation of coagulation

World journal of gastroenterology : WJG, 2006-08, Vol.12 (30), p.4843

2006

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Early-stage symptomatic osteoarthritis of the knee — time for action

Nature reviews. Rheumatology, 2021-10, Vol.17 (10), p.621-632

2021

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Lexical representation explains cortical entrainment during speech comprehension

Prediction During Natural Language Comprehension

Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain

How hierarchical is language use?

Probabilistic language models in cognitive neuroscience: Promises and pitfalls

The male bias of a generically-intended masculine pronoun: Evidence from eye-tracking and sentence evaluation

Evaluating information-theoretic measures of word prediction in naturalistic sentence reading

The ERP response to the amount of information conveyed by words in sentences

Unsupervised Text Segmentation Predicts Eye Fixations During Reading

Word predictability and semantic similarity show distinct patterns of brain activity during language comprehension

An eye-tracking-with-EEG coregistration corpus of narrative sentences

Is structural priming between different languages a learning effect? Modelling priming as error-driven implicit learning

Learning semantic sentence representations from visually grounded language without lexical knowledge

Modelling Human Word Learning and Recognition Using Visually Grounded Speech

Sentence Comprehension as Mental Simulation: An Information-Theoretic Perspective

Reservoir computing and the Sooner-is-Better bottleneck

Testing the effectiveness of the Internet-based instrument PsyToolkit: A comparison between web-based (PsyToolkit) and lab-based (E-Prime 3.0) measurements of response choice and response time in a complex psycholinguistic task

Sentence-processing in echo state networks: a qualitative analysis by finite state machine extraction

Resolution of grammatical tense into actual time, and its application in Time Perspective study in the tweet space

Strong Systematicity in Sentence Processing by an Echo State Network

Learn more by training less: systematicity in sentence processing by recurrent networks

Hierarchical and sequential processing of language: A response to: Ding, Melloni, Tian, and Poeppel (2017). Rule-based and word-level statistics-based processing of language: insights from neuroscience. Language, Cognition and Neuroscience

Automated Abstraction of Dynamic Neural Systems for Natural Language Processing

Expression of tissue factor in pancreatic adenocarcinoma is associated with activation of coagulation

Early-stage symptomatic osteoarthritis of the knee — time for action

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