1 |
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Perceptual Connectivity Influences Toddlers’ Attention to Known Objects and Subsequent Label Processing
|
|
|
|
In: Brain Sci (2021)
|
|
BASE
|
|
Show details
|
|
3 |
Moving towards accurate and early prediction of language delay with network science and machine learning approaches
|
|
|
|
In: Sci Rep (2021)
|
|
BASE
|
|
Show details
|
|
4 |
Lexical recognition in deaf children learning ASL: activation of semantic and phonological features of signs
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
|
|
|
|
In: ISSN: 2515-2459 ; EISSN: 2515-2467 ; Advances in Methods and Practices in Psychological Science ; https://hal-univ-rennes1.archives-ouvertes.fr/hal-02509817 ; Advances in Methods and Practices in Psychological Science, [Thousand Oaks]: [SAGE Publications], 2020, 3 (1), pp.24-52. ⟨10.1177/2515245919900809⟩ (2020)
|
|
BASE
|
|
Show details
|
|
6 |
Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
|
|
|
|
In: ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, vol 3, iss 1 (2020)
|
|
BASE
|
|
Show details
|
|
7 |
When slowing down processing helps learning: Lexico-semantic structure supports retention but interferes with disambiguation of novel object-label mappings
|
|
|
|
In: Dev Sci (2020)
|
|
BASE
|
|
Show details
|
|
8 |
Lexical Recognition in Deaf Children Learning American Sign Language: Activation of Semantic and Phonological Features of Signs
|
|
|
|
In: Lang Learn (2020)
|
|
BASE
|
|
Show details
|
|
9 |
Quantifying sources of variability in infancy research using the infant-directed-speech preference
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Dataset for Vocabulary size and structure affects real-time lexico-semantic recognition in 18-month-olds ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Developmental Timescale of Rapid Adaptation to Conflicting Cues in Real-Time Sentence Processing
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Modeling Early Lexico-Semantic Network Development: Perceptual Features Matter Most
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Vocabulary size and structure affects real-time lexical recognition in 18-month-olds
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Vocabulary size and Native Speaker self-identification influence flexibility in linguistic prediction among adult bilinguals
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Prediction in a visual language: real-time sentence processing in American Sign Language across development
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Prediction in a visual language: real-time sentence processing in American Sign Language across development ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Prediction in a visual language: real-time sentence processing in American Sign Language across development ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Prediction in a visual language: real-time sentence processing in American Sign Language across development
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Lexical leverage: category knowledge boosts real-time novel word recognition in 2-year-olds.
|
|
|
|
In: Developmental science, vol 19, iss 6 (2016)
|
|
Abstract:
Recent research suggests that infants tend to add words to their vocabulary that are semantically related to other known words, though it is not clear why this pattern emerges. In this paper, we explore whether infants leverage their existing vocabulary and semantic knowledge when interpreting novel label-object mappings in real time. We initially identified categorical domains for which individual 24-month-old infants have relatively higher and lower levels of knowledge, irrespective of overall vocabulary size. Next, we taught infants novel words in these higher and lower knowledge domains and then asked if their subsequent real-time recognition of these items varied as a function of their category knowledge. While our participants successfully acquired the novel label-object mappings in our task, there were important differences in the way infants recognized these words in real time. Namely, infants showed more robust recognition of high (vs. low) domain knowledge words. These findings suggest that dense semantic structure facilitates early word learning and real-time novel word recognition.
|
|
Keyword:
Child; Cognitive Sciences; Developmental & Child Psychology; Humans; Knowledge; Language Development; Linguistics; Preschool; Psychology; Recognition (Psychology); Semantics; Speech Perception; Vocabulary
|
|
URL: https://escholarship.org/uc/item/86m7n8q9
|
|
BASE
|
|
Hide details
|
|
|
|