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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. ...
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...
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...
Despite immense progress in Artificial Intelligence (AI) technologies, the deployment of AI
knowledge systems for idiom learning has yet to receive attention in either research or
development. This ...