Dependency distance, measured by the linear distance between two syntactically related
words in a sentence, is generally held as an important index of memory burden and an …

With the arrival of the R packages nlme and lme4, linear mixed models (LMMs) have come
to be widely used in experimentally-driven areas like psychology, linguistics, and cognitive …

We consider several key aspects of prediction in language comprehension: its
computational nature, the representational level (s) at which we predict, whether we use …

Experiments in research on memory, language, and in other areas of cognitive science are
increasingly being analyzed using Bayesian methods. This has been facilitated by the …

The book investigates theories and measures of working memory in second language
learning, processing and development. Research syntheses, theoretical perspectives and …

Since the publication of Clahsen and Felser's (2006) keynote article on grammatical
processing in language learners, the online study of sentence comprehension in adult …

We provide an introductory review of Bayesian data analytical methods, with a focus on
applications for linguistics, psychology, psycholinguistics, and cognitive science. The …

The question of whether there exists a universal subject preference in relativization has
stimulated research in a wide range of languages and across different domains, yielding an …

A general fact about language is that subject relative clauses are easier to process than
object relative clauses. Recently, several self-paced reading studies have presented …

Healthy ageing leads to changes in the brain that impact upon sensory and cognitive
processing. It is not fully clear how these changes affect the processing of everyday spoken …