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The P600 in Implicit Artificial Grammar Learning
EEG Artificial syntax Implicit learning Artificial grammar learning Structural mereexposure Preference classification
2016/5/3
The suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some h...
FACTORS INFLUENCING SENSITIVITY TO LEXICAL TONE IN AN ARTIFICIAL LANGUAGE
LEXICAL TONE ARTIFICIAL LANGUAGE
2015/12/18
Tone languages are notoriously diffi cult to learn as a foreign language
for learners with no prior experience with a tone language (Francis,
Ciocca, Ma, & Fenn, 2008 ; So & Best, 2011 ; Y. ...
Artificial Intelligence and Literary Creativity:Inside the Mind of BRUTUS,a Storytelling Machine
Artificial Intelligence Literary Creativity Inside the Mind BRUTUS Storytelling Machine
2015/8/25
Dave Striver loved the university. He loved its ivy-covered clocktowers, its ancient and sturdy brick, and its sun-splashed verdant greens and eager youth. He also loved the fact that the university i...
Learning simple and complex artificial grammars in the presence of a semantic reference field: effects on performance and awareness
artificial grammar learning implicit learning complexity reference field awareness higher order dependencies finite state grammars
2015/5/13
This study investigated whether the negative effect of complexity on artificial grammar learning could be compensated by adding semantics. Participants were exposed to exemplars from a simple or a com...
Phonetic richness can outweigh prosodically-driven phonological knowledge when learning words in an artificial language
Phonetic richness outweigh prosodically-driven phonological knowledge artificial language
2015/4/20
How do Dutch and Korean listeners use acoustic–phonetic information when learning words in an artificial language? Dutch has a voiceless ‘unaspirated’ stop, produced with shortened Voice Onset Time (V...
Electrical Stimulation of Brocaʼs Area Enhances Implicit Learning of an Artificial Grammar
Electrical Stimulation Brocaʼ s Area Enhances Implicit Learning Artificial Grammar
2015/4/9
Artificial grammar learning constitutes a well-established model for the acquisition of grammatical knowledge in a natural setting. Previous neuroimaging studies demonstrated that Brocaʼs area (l...
Increasing dopamine levels in the brain improves feedback-based procedural learning in healthy participants: An artificial-grammar-learning experiment
Levodopa Implicit learning Feedback Dopaminergic learning Neuropharmacological modulation Striatum
2015/4/9
Recently, an increasing number of studies have suggested a role for the basal ganglia and related dopamine inputs in procedural learning, specifically when learning occurs through trial-by-trial feedb...
Artificial Language Learning in Adults and Children
Artificial Language Learning Adults Children
2015/4/9
This article briefly reviews some recent work on artificial language learning in children and adults. The final part of the article is devoted to a theoretical formulation of the language learning pro...
ARTIFICIAL GRAMMAR PROCESSING IN SPIKING NEURAL NETWORKS
Artificial grammar recognition Structured sequence processing Spiking neuron model Minicolumn architecture Reber grammar
2015/4/7
In this paper we explore the feasibility of artificial (formal) grammar recognition (AGR) using spiking neural networks. A biologically inspired minicolumn architecture is designed as the basic comput...
The Time Course of Spoken Word Learning and Recognition: Studies With Artificial Lexicons
Spoken Word Learning Recognition Artificial Lexicons
2015/1/29
The time course of spoken word recognition depends largely on the frequencies of a word and its competitors, or neighbors (similar-sounding words). However, variability in natural lexicons makes syste...
LAGB 2014 - Workshop on Learning Biases in Natural and Artificial Languages
LAGB 2014 Workshop on Learning Biases Natural and Artificial Languages
2014/4/29
This workshop, organised by Adam Albright (MIT) and Andrew Nevins (UCL), will be held in conjunction with Adam Albright's Linguistics Association Lecture at 2014 Annual Meeting of the Linguistics Asso...
Dickens and Science Fiction: A Study of Artificial Intelligence in Great Expectations
Dickens Science Fiction Study Artificial Intelligence Great Expectations
2010/11/16
Dickens didn't write science fiction - or did he? More to the point, why on earth wouldn't Dickens write science fiction? In an era when writers were experimenting more and more with the fusion of sci...
Appetite for Destruction:Public Iconography and the Artificial Ruins of SITE, Inc.
Destruction Public Iconography the Artificial Ruins of SITE, Inc
2009/11/27
Beginning in the early seventies, the artists and architects of SITE, Inc. staged a series of interventions into the everyday American practice of shopping that confronted some of the most crucial iss...
Fine-Tuning Parameters for Emergent Environments in Games Using Artificial Intelligence
Fine-Tuning Parameters Emergent Environments Games Artificial Intelligence
2009/9/3
This paper presents the design, development, and test results of a tool for adjusting properties of emergent environment maps automatically according to a given scenario. Adjusting properties for a sc...
Enhancing Artificial Intelligence on a Real Mobile Game
Enhancing Artificial Intelligence Real Mobile Game
2009/9/3
Mobile games represent a killer application that is attracting millions of subscribers worldwide. One of the aspects crucial to the commercial success of a game is ensuring an appropriately challengin...