Results 31 to 40 of about 288,229 (327)

Problems with visual statistical learning in developmental dyslexia

Scientific Reports, 2017
Previous research shows that dyslexic readers are impaired in their recognition of faces and other complex objects, and show hypoactivation in ventral visual stream regions that support word and object recognition.
Heida Maria Sigurdardottir, Hilda Bjork Danielsdottir, Margret Gudmundsdottir, Kristjan Helgi Hjartarson, Elin Astros Thorarinsdottir, Árni Kristjánsson   +5 more
doaj   +1 more source

Visual search patterns for multilingual word search puzzles, a pilot study

Journal of Eye Movement Research, 2023
Word search puzzles are recognized as a valid word recognition task. Eye gaze patterns have been investigated during visual search and reading, but the word search puzzle requires both searching and word recognition. This paper will discuss findings from
Tanya Beelders
doaj   +1 more source

MEGALEX: A megastudy of visual and auditory word recognition [PDF]

Behavior Research Methods, 2017
Using the megastudy approach, we report a new database (MEGALEX) of visual and auditory lexical decision times and accuracy rates for tens of thousands of words. We collected visual lexical decision data for 28,466 French words and the same number of pseudowords, and auditory lexical decision data for 17,876 French words and the same number of ...
Ferrand, Ludovic, Méot, Alain, Spinelli, Elsa, New, Boris, Pallier, Christophe, Bonin, Patrick, Dufau, Stéphane, Mathôt, Sebastiaan, Grainger, Jonathan   +8 more
openaire   +4 more sources

Task-dependent masked priming effects in visual word recognition

Frontiers in Psychology, 2012
A method used widely to study the first 250 ms of visual word recognition is masked priming: These studies have yielded a rich set of data concerning the processes involved in recognizing letters and words.
Sachiko eKinoshita, Dennis eNorris
doaj   +1 more source

Frequency Effects on Spelling Error Recognition: An ERP Study

Frontiers in Psychology, 2022
Spelling errors are ubiquitous in all writing systems. Most studies exploring spelling errors focused on the phonological plausibility of errors. However, unlike typical pseudohomophones, spelling errors occur in naturally produced written language.
Ekaterina V. Larionova, Olga V. Martynova, Olga V. Martynova   +2 more
doaj   +1 more source

Modelling word learning and recognition using visually grounded speech [PDF]

arXiv, 2022
Background: Computational models of speech recognition often assume that the set of target words is already given. This implies that these models do not learn to recognise speech from scratch without prior knowledge and explicit supervision. Visually grounded speech models learn to recognise speech without prior knowledge by exploiting statistical ...
arxiv  

Deep generative learning of location-invariant visual word recognition

Frontiers in Psychology, 2013
It is widely believed that orthographic processing implies an approximate, flexible coding of letter position, as shown by relative-position and transposition priming effects in visual word recognition.
Maria Grazia eDi Bono, Marco eZorzi, Marco eZorzi   +2 more
doaj   +1 more source

Predicting Word Learning in Children from the Performance of Computer Vision Systems [PDF]

arXiv, 2022
For human children as well as machine learning systems, a key challenge in learning a word is linking the word to the visual phenomena it describes. We explore this aspect of word learning by using the performance of computer vision systems as a proxy for the difficulty of learning a word from visual cues. We show that the age at which children acquire
arxiv  

Scene recognition by semantic visual words [PDF]

Signal, Image and Video Processing, 2014
In this paper, we propose a novel approach to introduce semantic relations into the bag-of-words frame- work. We use the latent semantic models, such as latent semantic analysis (LSA) and probabilistic latent semantic analysis (pLSA), in order to define semantically rich fea- tures and embed the visual features into a semantic space.
Farahzadeh, Elahe, Sluzek, Andrzej, Cham Tat Jen (SCE)   +2 more
openaire   +4 more sources

Adversarial Attacks on Image Generation With Made-Up Words [PDF]

arXiv, 2022
Text-guided image generation models can be prompted to generate images using nonce words adversarially designed to robustly evoke specific visual concepts. Two approaches for such generation are introduced: macaronic prompting, which involves designing cryptic hybrid words by concatenating subword units from different languages; and evocative prompting,
arxiv