The processing of blend words in naming and sentence reading.

Q J Exp Psychol (Hove)

2 Department of Psychology, Wesleyan University, Middletown, CT, USA.

Published: April 2019

Research exploring the processing of morphologically complex words, such as compound words, has found that they are decomposed into their constituent parts during processing. Although much is known about the processing of compound words, very little is known about the processing of lexicalised blend words, which are created from parts of two words, often with phoneme overlap (e.g., brunch). In the current study, blends were matched with non-blend words on a variety of lexical characteristics, and blend processing was examined using two tasks: a naming task and an eye-tracking task that recorded eye movements during reading. Results showed that blend words were processed more slowly than non-blend control words in both tasks. Blend words led to longer reaction times in naming and longer processing times on several eye movement measures compared to non-blend words. This was especially true for blends that were long, rated low in word familiarity, but were easily recognisable as blends.

Download full-text PDF

Source
http://dx.doi.org/10.1177/1747021818768441DOI Listing

Publication Analysis

Top Keywords

processing
7
processing blend
4
blend naming
4
naming sentence
4
sentence reading
4
reading exploring
4
exploring processing
4
processing morphologically
4
morphologically complex
4
complex compound
4

Similar Publications

Soil oil pollution is a major environmental issue, especially in oil-producing nations, as it threatens the health of plants, animals, and humans. While bioremediation has been extensively utilized as a cost-effective method for restoring oil-contaminated soil, its environmental impact has garnered relatively little attention. Researchers often concentrate on reducing pollutant concentrations below permissible limits to restore soil quality.

View Article and Find Full Text PDF

Psychological chronic pain treatments have variable efficacy across individual patients, and on average tend to produce modest effects. In order to improve treatment outcomes, the past decade has seen a rapid increase in research focused on determining the mechanisms underlying treatment-related gains. The near exclusive focus of this research has been on uncovering patient-related mediators and moderators.

View Article and Find Full Text PDF

Background: Clinical practice is key in the development and enhancement of the professional competencies for Master of Nursing Specialist postgraduates in anesthesia; however, there is a lack of unified and standardized clinical practice training programs in China, failing to guarantee teaching quality among institutions.

Objective: To understand perceptions of the clinical practice training program setting for Master of Nursing Specialist postgraduates in anesthesia from the dual perspectives of faculty and students.

Design: A qualitative descriptive study.

View Article and Find Full Text PDF

Women-identifying and women+ gender faculty (hereto described as women+ faculty) face numerous barriers to career advancement in medicine and biomedical sciences. Despite accumulating evidence that career development programming for women+ is critical for professional advancement and well-being, accessibility of these programs is generally limited to small cohorts, only offered to specific disciplines, or otherwise entirely unavailable. Opportunities for additional, targeted career development activities are imperative in developing and retaining women+ faculty.

View Article and Find Full Text PDF

Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!