Artificial linguistic systems (ALSs) offer many potential benefits for second language acquisition (SLA) research. Nonetheless, their use in experiments with posttest-only designs can give rise to internal validity problems depending on the baseline that is employed to establish evidence of learning. Researchers in this area often compare…

The structure of natural languages give rise to many dependencies in the linear sequences of words, and within words themselves. Detecting these dependencies is arguably critical for young children in learning the underlying structure of their language. There is considerable evidence that human adults and infants are sensitive to the statistical…

Adult learners know that language is for communicating and that there are patterns in the language that need to be learned. This affects the way they engage with language input; they search for form-meaning linkages, and this effortful engagement could interfere with their learning, especially for things like grammatical gender that often have at…

Humans are remarkably sensitive to the statistical structure of language. However, different mechanisms have been proposed to account for such statistical sensitivities. The present study compared adult learning of syntax and the ability of two models of statistical learning to simulate human performance: Simple Recurrent Networks, which learn by…

Drill procedures have been used to increase the retention of various types of information, but little is known about the causal mechanisms of these techniques. The current study compared the effect of two key features of drill procedures, a large number of opportunities to respond (OTR) and a drill ratio that maintains a high percentage of known…