ABSTRACT A computational model for the comprehension of single spoken words is
presented that builds on an earlier model using discriminative learning. Real-valued …

The uncertainty associated with paradigmatic families has been shown to correlate with their
phonetic characteristics in speech, suggesting that representations of complex sublexical …

This chapter reviews the arguments that have been raised against the unit‐based account
and presents some of the wide range of approaches that have been taken to modelling …

Error-driven learning algorithms, which iteratively adjust expectations based on prediction
error, are the basis for a vast array of computational models in the brain and cognitive …

Standard linguistic and psycholinguistic approaches to stress assignment argue that the
position of word stress is determined on the basis of abstract information such as syllable …

ABSTRACT Last year, 2022, marked the 50th anniversary of the Rescorla-Wagner learning
equations–a landmark in the development of learning theory. Originally based on animal …

The Rescorla-Wagner model has seen widespread success in modelling not only its original
target of animal learning, but also several areas of human learning. However, despite its …

In this study, we propose an operationalization of the concept of emergence which plays a
crucial role in usage-based theories of language. The abstractions linguists operate with are …

Sequence learning is fundamental to a wide range of cognitive functions. Explaining how
sequences—and the relations between the elements they comprise—are learned is a …

Stress position in English words is well-known to correlate with both their morphological
properties and their phonological organisation in terms of non-segmental, prosodic …