Results 81 to 90 of about 1,368,901 (343)
Visual recognition of words learned with gestures induces motor resonance in the forearm muscles
According to theories of Embodied Cognition, memory for words is related to sensorimotor experiences collected during learning. At a neural level, words encoded with self-performed gestures are represented in distributed sensorimotor networks that ...
Claudia Repetto+3 more
doaj +1 more source
Models of visual word recognition
Reading is a complex process that draws on a remarkable number of diverse perceptual and cognitive processes. In this review, I provide an overview of computational models of reading, focussing on models of visual word recognition-how we recognise individual words.
openaire +3 more sources
Word recognition from tiered phonological models [PDF]
Phonologically constrained morphological analysis (PCMA) is the decomposition of words into their component morphemes conditioned by both orthography and pronunciation. This article describes PCMA and its application in large-vocabulary continuous speech
Huckvale, M
core
Objective Our objective was to explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (Optimizing Primary Care Management of Knee Osteoarthritis [PARTNER]), at 12 months (ACTRN: 12617001595303).
Abdolhay Farivar+12 more
wiley +1 more source
Integrative priming occurs rapidly and uncontrollably during lexical processing [PDF]
Lexical priming, whereby a prime word facilitates recognition of a related target word (e.g., nurse ? doctor), is typically attributed to association strength, semantic similarity, or compound familiarity.
Estes, Zachary, Jones, Lara L.
core +2 more sources
Objective This study investigated whether sleep disturbance can predict the extent to which pain interferes with daily functioning in patients with early rheumatoid arthritis (RA). Methods Data were from adults with early RA (joint symptoms ≤12 months) enrolled in the Canadian Early Arthritis Cohort between 2016 and 2023.
Burcu Aydemir+16 more
wiley +1 more source
Efficient Embedded Speech Recognition for Very Large Vocabulary Mandarin Car-Navigation Systems [PDF]
Automatic speech recognition (ASR) for a very large vocabulary of isolated words is a difficult task on a resource-limited embedded device. This paper presents a novel fast decoding algorithm for a Mandarin speech recognition system which can ...
Qian, Yanmin+2 more
core +1 more source
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
Handwritten Text Recognition (HTR) is still a challenging problem because it must deal with two important difficulties: the variability among writing styles, and the scarcity of labelled data.
Fornés, Alicia+4 more
core +1 more source
Emotion and language: valence and arousal affect word recognition [PDF]
Emotion influences most aspects of cognition and behavior, but emotional factors are conspicuously absent from current models of word recognition. The influence of emotion on word recognition has mostly been reported in prior studies on the automatic ...
Brysbaert, Marc+3 more
core +2 more sources
Objective Social determinants of health (SDoH) can impact outcomes but are not routinely screened for in US outpatient rheumatology clinics. This study determined the feasibility of routine point‐of‐care SDoH screening among patients with systemic lupus erythematosus (SLE) and associated barriers and facilitators at the physician, care team, and ...
S. Sam Lim+11 more
wiley +1 more source