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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 53 1 Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference Bergmann, Christina; Nave, Karli M; Seidl, Amanda. - : SAGE Publications, 2021 BASE Show details 2 Perceptual Connectivity Influences Toddlers’ Attention to Known Objects and Subsequent Label Processing Peters, Ryan E.; Kueser, Justin B.; Borovsky, Arielle In: Brain Sci (2021) BASE Show details 3 Moving towards accurate and early prediction of language delay with network science and machine learning approaches Borovsky, Arielle; Thal, Donna; Leonard, Laurence B. In: Sci Rep (2021) BASE Show details 4 Lexical recognition in deaf children learning ASL: activation of semantic and phonological features of signs Borovsky, Arielle; Lieberman, Amy. - : Wiley, 2020 BASE Show details 5 Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference Frank, Michael,; Alcock, Katherine Jane; Arias-Trejo, Natalia... 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 Frank, Michael C; Alcock, Katherine Jane; Arias-Trejo, Natalia... 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 Borovsky, Arielle In: Dev Sci (2020) Abstract: 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, while other findings indicate that semantic similarity interferes and temporarily slows familiar word recognition. This project explores how these distinct processes interact when mapping and retaining labels for novel objects (i.e. low-frequency objects that are unfamiliar to toddlers) via disambiguation from a semantically-similar familiar referent in 24-month-olds (N=65). Toddlers’ log-adjusted looking to labeled target objects (relative to distractor objects) was measured in three conditions: Familiar trials (familiar label spoken while viewing semantically related familiar and novel objects), Disambiguation trials (unfamiliar label spoken while viewing semantically similar familiar and unfamiliar object), and Retention trials (unfamiliar label spoken while viewing novel object pairs). Toddlers’ individual vocabulary structure was then compared to performance on each condition. Vocabulary structure was measured at two levels: category-level structure (semantic density) for experimental items, and lexicon-level structure (global clustering coefficient). The findings suggest, consistent with prior results, that semantic density interfered with known word recognition, and facilitated unfamiliar word retention. Children did not show a significant novel word preference during disambiguation, and disambiguation behavior was not impacted by semantic structure. These findings connect seemingly disparate mechanisms of semantic interference in processing and semantic leveraging in word learning. Semantic interference momentarily slows word recognition and resolution of referential uncertainty for novel label-object mappings. Nevertheless, this slowing might support retention by enabling comparison between related objects. Keyword: Article URL: https://doi.org/10.1111/desc.12963 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128105/ http://www.ncbi.nlm.nih.gov/pubmed/32160363 BASE Hide details 8 Lexical Recognition in Deaf Children Learning American Sign Language: Activation of Semantic and Phonological Features of Signs Lieberman, Amy M.; Borovsky, Arielle In: Lang Learn (2020) BASE Show details 9 Quantifying sources of variability in infancy research using the infant-directed-speech preference Krieger, Andrea A.; Alcock, Katherine J.; Levelt, Claartje. - : U.S., Sage Publications, 2020 BASE Show details 10 Dataset for Vocabulary size and structure affects real-time lexico-semantic recognition in 18-month-olds ... Borovsky, Arielle. - : Open Science Framework, 2019 BASE Show details 11 Developmental Timescale of Rapid Adaptation to Conflicting Cues in Real-Time Sentence Processing Yazbec, Angele; Kaschak, Michael P.; Borovsky, Arielle. - 2019 BASE Show details 12 Modeling Early Lexico-Semantic Network Development: Perceptual Features Matter Most Peters, Ryan; Borovsky, Arielle. - 2019 BASE Show details 13 Vocabulary size and structure affects real-time lexical recognition in 18-month-olds Borovsky, Arielle; Peters, Ryan E.. - : Public Library of Science, 2019 BASE Show details 14 Building a lexical network Mani, Nivedita; Borovsky, Arielle In: Early word learning (London, 2018), p. 57-69 MPI für Psycholinguistik Show details 15 Vocabulary size and Native Speaker self-identification influence flexibility in linguistic prediction among adult bilinguals Peters, Ryan; Grüter, Theres; Borovsky, Arielle. - 2018 BASE Show details 16 Prediction in a visual language: real-time sentence processing in American Sign Language across development Lieberman, Amy M.; Mayberry, Rachel; Borovsky, Arielle. - : Taylor & Francis, 2017 BASE Show details 17 Prediction in a visual language: real-time sentence processing in American Sign Language across development ... Lieberman, Amy M.; Borovsky, Arielle; Mayberry, Rachel I.. - : Taylor & Francis, 2017 BASE Show details 18 Prediction in a visual language: real-time sentence processing in American Sign Language across development ... Lieberman, Amy M.; Borovsky, Arielle; Mayberry, Rachel I.. - : Taylor & Francis, 2017 BASE Show details 19 Prediction in a visual language: real-time sentence processing in American Sign Language across development Lieberman, Amy M.; Borovsky, Arielle; Mayberry, Rachel I.. - 2017 BASE Show details 20 Lexical leverage: category knowledge boosts real-time novel word recognition in 2-year-olds. Evans, Julia L; Borovsky, Arielle; Elman, Jeffrey L... In: Developmental science, vol 19, iss 6 (2016) BASE Show details Page: 1 2 3

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