Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…

Purpose: The purpose of the study is to investigate how emotional arousal and valence affect confrontational naming accuracy and response time (RT) in people with mild-to-moderate aphasia compared with adults without aphasia. We hypothesized that negative and positive emotions would facilitate naming for people with aphasia (PWA) but lead to…

Background: Word-retrieval difficulties are commonly experienced by people with aphasia (PwA) and also by typically ageing persons. Differentiation between true naming impairments and naming difficulties found in healthy persons may, therefore, be challenging. Aims: To investigate the extent to which the Maltese adaptation of the Boston Naming…

This retrospective, exploratory investigation examined the types of target words that 66 children with/without word-finding difficulties (WFD) had difficulty naming, and the types of errors they made. Words were studied with reference to lexical factors (LFs) that might influence naming performance: word frequency, familiarity, length, phonotactic…

Purpose: The purpose of this study was to develop and pilot a novel treatment framework called "BEARS" (Balancing Effort, Accuracy, and Response Speed). People with aphasia (PWA) have been shown to maladaptively balance speed and accuracy during language tasks. BEARS is designed to train PWA to balance speed-accuracy trade-offs and…

Background: Speech-sound development in preschoolers with unilateral cleft lip and palate (UCLP) as a group is delayed/disordered, and obstruents comprise the most vulnerable sound class. Aims: To evaluate the development of obstruent correctness (PCC-obs) and error types (cleft speech characteristics (CSCs) and developmental speech…

In 2 variants of the color-word Stroop task, we compared 5 types of color-neutral distractors--real words (e.g., "HAT"), pseudowords (e.g., "HIX"), consonant strings (e.g., "HDK"), symbol strings (e.g., #$%), and a row of Xs (e.g., "XXX")--as well as incongruent color words (e.g., "GREEN" displayed…

Naming speed (NS) refers to how quickly and accurately participants name a set of familiar stimuli (e.g., letters). NS is an established predictor of reading ability, but controversy remains over why it is related to reading. We used three techniques (stimulus manipulations to emphasize phonological and/or visual aspects, decomposition of NS times…

Congruency effects were examined using a manual response version of the Stroop task in which the relationship between the colour word and its hue on incongruent trials was either kept constant or varied randomly across different pairings within the stimulus set. Congruency effects were increased in the condition where the incongruent hue-word…