Whether computational algorithms such as latent semantic analysis (LSA) can both extract
meaning from language and advance theories of human cognition has become a topic of …

Recent theories of cognition have argued that embodied experience is important for
conceptual processing. Embodiment can be contrasted with linguistic factors such as the …

Studies of embodied cognition have shown that comprehenders process iconic word pairs
(attic-basement) more quickly than reverse-iconic pairs (basement-attic) when the pairs are …

Since their inception, distributional models of semantics have been criticized as inadequate
cognitive theories of human semantic learning and representation. A principal challenge is …

Computational models of meaning trained on naturally occurring text successfully model
human performance on tasks involving simple similarity measures, but they characterize …

Human ratings of valence, arousal, and dominance are frequently used to study the
cognitive mechanisms of emotional attention, word recognition, and numerous other …

Since the book contains a great variety of approaches in the broad field of discourse studies,
not all chapters may be relevant for all the students who want to explore research …

Over the last decades a divide seems to have emerged in the cognitive sciences between
embodied and symbolic approaches to language understanding. Embodied approaches …

Population counts and longitude and latitude coordinates were estimated for the 50 largest
cities in the United States by computational linguistic techniques and by human participants …

There is increasing evidence from response time experiments that language statistics and
perceptual simulations both play a role in conceptual processing. In an EEG experiment we …