We present the first rhythm detection experiment using a Lindenmayer grammar, a self-similar recursive grammar shown previously to be learnable by adults using speech stimuli. Results show that learners were unable to correctly accept or reject grammatical and ungrammatical strings at the group level, although five (of 40) participants were able to do so with detailed instructions before the exposure phase
The present study investigated the processing of two types of artificial grammars by means of event-...
Recurrent neural networks (RNNs) have long been an architecture of interest for computational models...
A dominant hypothesis in empirical research on the evolution of language is the following: the funda...
We present the first rhythm detection experiment using a Lindenmayer grammar, a self-similar recursi...
Processing of recursion has been proposed as the foundation of human linguistic ability. Yet this ab...
Our research investigates if the human parser is sensitive to the underlying structure governing the...
In an artificial grammar learning study, Lai & Poletiek (2011) found that human participants could l...
Language is composed of complex grammatical structures that learners must make sense of in order to ...
There has been a growing body of evidence investigating the potential links between the processing o...
Sensitivity to regularities plays a crucial role in the acquisition of various linguistic features f...
Durational patterns provide cues to linguistic structure, and so variations in rhythm skills may hav...
This study used behavioral measures and ERP difference waves to measure the underlying brain process...
Can neural activity reveal syntactic structure building processes and their violations? To verify th...
Recursive processing in sentence comprehension is considered a hallmark of human linguistic abiliti...
Language acquisition is one of the core problems in artificial intelligence (AI) and it is generally...
The present study investigated the processing of two types of artificial grammars by means of event-...
Recurrent neural networks (RNNs) have long been an architecture of interest for computational models...
A dominant hypothesis in empirical research on the evolution of language is the following: the funda...
We present the first rhythm detection experiment using a Lindenmayer grammar, a self-similar recursi...
Processing of recursion has been proposed as the foundation of human linguistic ability. Yet this ab...
Our research investigates if the human parser is sensitive to the underlying structure governing the...
In an artificial grammar learning study, Lai & Poletiek (2011) found that human participants could l...
Language is composed of complex grammatical structures that learners must make sense of in order to ...
There has been a growing body of evidence investigating the potential links between the processing o...
Sensitivity to regularities plays a crucial role in the acquisition of various linguistic features f...
Durational patterns provide cues to linguistic structure, and so variations in rhythm skills may hav...
This study used behavioral measures and ERP difference waves to measure the underlying brain process...
Can neural activity reveal syntactic structure building processes and their violations? To verify th...
Recursive processing in sentence comprehension is considered a hallmark of human linguistic abiliti...
Language acquisition is one of the core problems in artificial intelligence (AI) and it is generally...
The present study investigated the processing of two types of artificial grammars by means of event-...
Recurrent neural networks (RNNs) have long been an architecture of interest for computational models...
A dominant hypothesis in empirical research on the evolution of language is the following: the funda...