The fluency task, which involves lexical retrieval from a categorical or thematic prompt, has been a crucial paradigm in studies about lexicon in bilingualism and additional languages. Particularly, there has been a very productive cognitive turn towards analytical models based on the exploration of the cognitive processes underlying the mental…

Purpose: Lexical processing impairments such as delayed and reduced activation of lexical-semantic information have been linked to syntactic processing disruptions and sentence comprehension deficits in individuals with aphasia (IWAs). Lexical-level deficits can also preclude successful lexical encoding during sentence processing and amplify the…

Recent semantic space models learn vector representations for word meanings by observing statistical redundancies across a text corpus. A word's meaning is represented as a point in a high-dimensional semantic space, and semantic similarity between words is quantified by a function of their spatial proximity (typically the cosine of the angle…

The aim of the present paper is examining the mental representations activated by semantic networks in media discourse. It studies the cognitive frames that are mentally constructed and activated about illegal immigrants, in general, and Syrian refugees in particular. Any word class can evoke frames, but to limit the scope of analysis,…

We compared the ability of three different contextual models of lexical semantic memory (BEAGLE, Latent Semantic Analysis, and the Topic model) and of a simple associative model (POC) to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network…

Knowledge of mechanisms is critical for causal reasoning. We contrasted two possible organizations of causal knowledge--an interconnected causal "network," where events are causally connected without any boundaries delineating discrete mechanisms; or a set of disparate mechanisms--causal "islands"--such that events in different…

Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections have been raised against this approach, mainly in its failure at predicting semantic priming. We…

We present statistical analyses of the large-scale structure of 3 types of semantic networks: word associations, WordNet, and Roget's Thesaurus. We show that they have a small-world structure, characterized by sparse connectivity, short average path lengths between words, and strong local clustering. In addition, the distributions of the number of…

Research on the cognitive processes used in semantic priming has shown that the processing of a given stimulus is speeded by prior processing of a related stimulus as the result of automatic and/or effortful priming. To investigate the effect of age on semantic priming, two independent studies were conducted at Pomona College in California and at…