Results 1 to 10 of about 8,354 (226)

Grapheme learning and grapheme-color synesthesia: toward a comprehensive model of grapheme-color association [PDF]

open access: yesFrontiers in Human Neuroscience, 2013
Recent progress in grapheme-color synesthesia research has revealed that certain regularities, as well as individual differences, figure into grapheme-color associations.
Michiko Asano, Kazuhiko Yokosawa
exaly   +6 more sources

Grapheme-Phoneme Learning in an Unknown Orthography: A Study in Typical Reading and Dyslexic Children

open access: yesFrontiers in Psychology, 2018
In this study, we examined the learning of new grapheme-phoneme correspondences in individuals with and without dyslexia. Additionally, we investigated the relation between grapheme-phoneme learning and measures of phonological awareness, orthographic ...
Jeremy M Law   +2 more
exaly   +4 more sources

Learning to Read in an Intermediate Depth Orthography: The Longitudinal Role of Grapheme Sounding on Different Types of Reading Fluency [PDF]

open access: yesBehavioral Sciences
Phonological processing skills, such as phonological awareness, are known predictors of reading acquisition in alphabetic languages with varying degrees of orthographic complexity.
Sandra Fernandes   +2 more
doaj   +2 more sources

Grapheme coding in L2: How do L2 learners process new graphemes? [PDF]

open access: yesJournal of Cognitive Psychology, 2014
Grapheme coding was examined in French Grade 6 and Grade 8 children and adults who learned English as a second language (L2). In Experiments 1 and 2, three conditions were compared in a letter detection task in L2: (1) simple grapheme (i.e., detect “a” in black); (2) complex language-shared grapheme (i.e., “a” in brain) and (3) complex L2-specific ...
Eva Commissaire   +2 more
exaly   +5 more sources

The orthography of Resava in the Baranja Transcription of Dušan's Code [PDF]

open access: yesBaština, 2021
The paper examines the characteristics of the orthography of Resava in the Baranja Transcription of Dušan's Code, created at the beginning of the 16th century.
Antić Aleksandra M.
doaj   +1 more source

GRAPhEME: Performances, achievements (@EC-JRC/GELINA) and future (@GANIL/SPIRAL2/NFS) [PDF]

open access: yesEPJ Web of Conferences, 2023
GRAPhEME is a γ-spectrometer developed by CNRS/IPHC Strasbourg (France), in collaboration with EC-JRC Geel (Belgium) and IFIN-HH Bucharest (Romania). With its 6 High Purity Planar Germanium detectors and one fission chamber, GRAPhEME, installed at the EC-
Kerveno Maëlle   +18 more
doaj   +1 more source

Latin graphemes Z and V in Internet genres [PDF]

open access: yesЖанры речи, 2023
The article compares the use of graphemes Z and V in written Russian Internet mass media of various genres: traditional (articles of Internet news portals and sites of regional governments), communicative (comments, messages, posts on social networks ...
Shtukareva, Elena Borisovna
doaj   +1 more source

Synesthesia has specific cognitive processing during Go/No-go paradigms

open access: yesScientific Reports, 2023
Grapheme-color synesthesia is a consistent and automatic perception of non-physical color when presented with a grapheme. Many previous studies focused on the synesthetic visual system, but other cognitive functions in grapheme-color synesthetes have ...
Yu Aoki, Manabu Shibasaki, Hiroki Nakata
doaj   +1 more source

New insights into mechanisms of enhanced synaesthetic memory: Benefits are synaesthesia-type-specific. [PDF]

open access: yesPLoS ONE, 2018
The goal of this study was to test the nature of the memory advantage in synaesthesia. We compared four different types of synaesthetes (27 grapheme-colour, 21 sound-colour-, 25 grapheme-colour-and-sound-colour- and 24 sequence-space synaesthetes) to ...
Katrin Lunke, Beat Meier
doaj   +1 more source

Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Neural network models have achieved state-of-the-art performance on grapheme-to-phoneme (G2P) conversion. However, their performance relies on large-scale pronunciation dictionaries, which may not be available for a lot of languages. Inspired by the success of the pre-trained language model BERT, this paper proposes a pre-trained grapheme model called ...
Lu Dong 0005   +5 more
openaire   +2 more sources

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