A limiting factor in understanding memory and language is often the availability of large
numbers of stimuli to use and explore in experimental studies. In this study, we expand on …

The processes tapped by the widely-used word association (WA) paradigm remain a matter
of debate: while some authors consider them as driven by lexical co-occurrences, others …

Cognitive studies on Parkinson's disease (PD) reveal abnormal semantic processing. Most
research, however, fails to indicate which conceptual properties are most affected and …

According to the feature-based view of semantic representation, concepts can be
represented as distributed networks of semantic features, which contribute with different …

Large-scale word association datasets are both important tools used in psycholinguistics
and used as models that capture meaning when considered as semantic networks. Here, we …

To study linguistically coded concepts, researchers often resort to the Property Listing Task
(PLT). In a PLT, participants are asked to list properties that describe a concept (eg, for DOG …

The mental lexicon offers a window into the configuration of conceptual domains such as
space and time, which has been labeled as concrete the former and abstract the latter in the …

Semantic feature production norms are a useful tool for researchers to have empirically
collected data about the semantic representations of a particular population. As older adults …

It has been suggested that concepts can be recognised based on at least some amount of
highly shared features across individuals (ie core features). However, the boundaries …

Feature-listing tasks are an invaluable resource for exploring how words, categories, and
metaphors are represented. However, manually coding the generated features is time …