Comparing cross-situational word learning, retention, and generalisation in children with autism and typical development
Sign Up to like & getrecommendations! Published in 2020 at "Cognition"
DOI: 10.1016/j.cognition.2020.104265
Abstract: Word learning is complicated by referential ambiguity - there are often multiple potential targets for a newly-heard word. While typically developing (TD) children can accurately infer word meanings from cross-situational statistics, specific difficulties tracking word-object… read more here.
Keywords: cross situational; word; word learning; situational word ... See more keywords
Cross-situational word learning in aphasia
Sign Up to like & getrecommendations! Published in 2017 at "Cortex"
DOI: 10.1016/j.cortex.2017.04.020
Abstract: Human learners can resolve referential ambiguity and discover the relationships between words and meanings through a cross-situational learning (CSL) strategy. Some people with aphasia (PWA) can learn word-referent pairings under referential uncertainty supported by online… read more here.
Keywords: cross situational; word; csl; ability ... See more keywords
The temporal structure of naming events differentially affects children's and adults' cross-situational word learning.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of experimental child psychology"
DOI: 10.1016/j.jecp.2020.104961
Abstract: To acquire novel words, learners often need to integrate information about word meanings across ambiguous learning events distributed in time. How does the temporal structure of those word learning events affect what learners encode? How… read more here.
Keywords: cross situational; temporal structure; word; naming events ... See more keywords
The company objects keep: Linking referents together during cross-situational word learning.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of memory and language"
DOI: 10.1016/j.jml.2017.11.001
Abstract: Learning the meanings of words involves not only linking individual words to referents but also building a network of connections among entities in the world, concepts, and words. Previous studies reveal that infants and adults… read more here.
Keywords: cross situational; word; company objects; objects keep ... See more keywords
Word-Object Learning via Visual Exploration in Space (WOLVES): A neural process model of cross-situational word learning.
Sign Up to like & getrecommendations! Published in 2021 at "Psychological review"
DOI: 10.1037/rev0000313
Abstract: Infants, children, and adults have been shown to track co-occurrence across ambiguous naming situations to infer the referents of new words. The extensive literature on this cross-situational word learning (CSWL) ability has produced support for… read more here.
Keywords: cross situational; word; visual exploration; model ... See more keywords
Replication of a single-case design cross-situational statistically based word learning treatment for late talking children.
Sign Up to like & getrecommendations! Published in 2023 at "International journal of speech-language pathology"
DOI: 10.1080/17549507.2022.2160493
Abstract: PURPOSE Late talking children are at risk of ongoing language impairment. This intervention study replicated and extended research based on cross-situational statistical learning principles. METHOD Three late talking children (age 24-32 months) were enrolled into the… read more here.
Keywords: late talking; cross situational; single case; talking children ... See more keywords
Comparison Studies on Active Cross-Situational Object-Word Learning Using Non-Negative Matrix Factorization and Latent Dirichlet Allocation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2017.2725304
Abstract: Future intelligent robots are expected to be able to adapt continuously to their environment. For this purpose, recognizing new objects and learning new words through interactive learning with humans is fundamental. Such setup results in… read more here.
Keywords: cross situational; learning; negative matrix; matrix factorization ... See more keywords
Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2020.2995045
Abstract: We present two related but different cross-situational and crossmodal models of incremental word learning. Model 1 is a Bayesian approach for co-learning object-word mappings and referential intention which allows for incremental learning from only a… read more here.
Keywords: cross situational; word learning; model; word ... See more keywords
Cross-situational Learning From Ambiguous Egocentric Input Is a Continuous Process: Evidence Using the Human Simulation Paradigm
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive science"
DOI: 10.1111/cogs.13010
Abstract: Recent laboratory experiments have shown that both infant and adult learners can acquire word-referent mappings using cross-situational statistics. The vast majority of the work on this topic has used unfamiliar objects presented on neutral backgrounds… read more here.
Keywords: continuous process; cross situational; situational learning; word ... See more keywords
What Children with Developmental Language Disorder Teach Us About Cross‐Situational Word Learning
Sign Up to like & getrecommendations! Published in 2022 at "Cognitive Science"
DOI: 10.1111/cogs.13094
Abstract: Abstract Children with developmental language disorder (DLD) served as a test case for determining the role of extant vocabulary knowledge, endogenous attention, and phonological working memory abilities in cross‐situational word learning. First‐graders (M age =… read more here.
Keywords: situational word; children developmental; word learning; cross situational ... See more keywords
Cross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robots
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2017.00066
Abstract: In this paper, we propose a Bayesian generative model that can form multiple categories based on each sensory-channel and can associate words with any of the four sensory-channels (action, position, object, and color). This paper… read more here.
Keywords: cross situational; situational learning; word; bayesian generative ... See more keywords