Affiliation:
1. Qatar University
2. University of Newcastle upon Tyne
3. University of Sheffield
Abstract
Abstract
To date, normative psycholinguistics research has mainly focused
on establishing norms for producing databases for concrete words using
standardized pictures, while abstract words have been subject to much less
attention. Understandably, the fact that the first can be represented visually
helps in formulating picture-naming tasks to elicit verbal identification for
pictures representing nouns and verbs, which greatly contributes to language
experiments in both theoretical and clinical studies. The present study argues
for the equal importance of studies that aim to develop databases for abstract
words, as language use is not restricted to picturable/concrete concepts. We
provide norms for a set of 165 abstract nouns, 56 abstract verbs and 109
abstract adjectives, collected from healthy speakers of Arabic. Using rating
tasks, norms for imageability, age of acquisition, and familiarity are
established. Linguistic factors such as syllable length and phoneme length are
also accounted for. We also include orthographic frequency values (extracted
from AraLex; Boudelaa and Marslen-Wilson,
2010). The norms for the processing of abstract words collected in
the current study present a valuable resource for researchers and clinicians
working with speakers of Arabic. To the best of our knowledge, this is the first
dataset of abstract words for the Arabic language.
Publisher
John Benjamins Publishing Company
Subject
Cognitive Neuroscience,Linguistics and Language,Language and Linguistics
Cited by
2 articles.
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