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Abu-Zhaya, Rana; Arnon, Inbal; Borovsky, Arielle – Cognitive Science, 2022
Meaning in language emerges from multiple words, and children are sensitive to multi-word frequency from infancy. While children successfully use cues from single words to generate linguistic predictions, it is less clear whether and how they use multi-word sequences to guide real-time language processing and whether they form predictions on the…
Descriptors: Sentences, Language Processing, Semantics, Prediction
Borovsky, Arielle – Developmental Science, 2020
This project explores how children disambiguate and retain novel object-label mappings in the face of semantic similarity. Burgeoning evidence suggests that semantic structure in the developing lexicon promotes word learning in ostensive contexts, whereas other findings indicate that semantic similarity interferes with and temporarily slows…
Descriptors: Language Processing, Retention (Psychology), Novelty (Stimulus Dimension), Semantics
Yazbec, Angele; Kaschak, Michael P.; Borovsky, Arielle – Cognitive Science, 2019
Children and adults use established global knowledge to generate real-time linguistic predictions, but less is known about how listeners generate predictions in circumstances that semantically conflict with long-standing event knowledge. We explore these issues in adults and 5- to 10-year-old children using an eye-tracked sentence comprehension…
Descriptors: Sentences, Language Processing, Prediction, Adults
Borovsky, Arielle – Developmental Psychology, 2022
Toddlerhood is marked by advances in several lexico-semantic skills, including improvements in the size and structure of the lexicon and increased efficiency in lexical processing. This project seeks to delineate how early changes in vocabulary size and vocabulary structure support lexical processing (Experiment 1), and how these three skills…
Descriptors: Toddlers, Semantics, Vocabulary Development, Language Processing
Reuter, Tracy; Borovsky, Arielle; Lew-Williams, Casey – Developmental Psychology, 2019
According to prediction-based learning theories, erroneous predictions support learning. However, empirical evidence for a relation between prediction error and children's language learning is currently lacking. Here we investigated whether and how prediction errors influence children's learning of novel words. We hypothesized that word learning…
Descriptors: Prediction, Error Patterns, Preschool Children, Language Processing
Semantic Structure in Vocabulary Knowledge Interacts with Lexical and Sentence Processing in Infancy
Borovsky, Arielle; Ellis, Erica M.; Evans, Julia L.; Elman, Jeffrey L. – Child Development, 2016
Although the size of a child's vocabulary associates with language-processing skills, little is understood regarding how this relation emerges. This investigation asks whether and how the structure of vocabulary knowledge affects language processing in English-learning 24-month-old children (N = 32; 18 F, 14 M). Parental vocabulary report was used…
Descriptors: Vocabulary Development, Language Processing, Correlation, English
Borovsky, Arielle; Elman, Jeffrey L.; Kutas, Marta – Language Learning and Development, 2012
We investigated the impact of contextual constraint on the integration of novel word meanings into semantic memory. Adults read strongly or weakly constraining sentences ending in known or unknown (novel) words as scalp-recorded electrical brain activity was recorded. Word knowledge was assessed via a lexical decision task in which recently seen…
Descriptors: Semantics, Memory, Novelty (Stimulus Dimension), Young Adults
Borovsky, Arielle; Elman, Jeff – Journal of Child Language, 2006
Variations in the amount and nature of early language to which children are exposed have been linked to their subsequent ability (e.g. Huttenlocher, Haight, Bryk, Seltzer & Lyons, 1991; Hart & Risley, 1995). In three computational simulations, we explore how differences in linguistic experience can explain differences in word learning ability due…
Descriptors: Semantics, Vocabulary Development, Linguistic Input, Child Language