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Portelance, Eva; Duan, Yuguang; Frank, Michael C.; Lupyan, Gary – Cognitive Science, 2023
What makes a word easy to learn? Early-learned words are frequent and tend to name concrete referents. But words typically do not occur in isolation. Some words are predictable from their contexts; others are less so. Here, we investigate whether predictability relates to when children start producing different words (age of acquisition; AoA). We…
Descriptors: Prediction, Vocabulary Development, Word Frequency, Child Development
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Fourtassi, Abdellah; Bian, Yuan; Frank, Michael C. – Cognitive Science, 2020
Children tend to produce words earlier when they are connected to a variety of other words along the phonological and semantic dimensions. Though these semantic and phonological connectivity effects have been extensively documented, little is known about their underlying developmental mechanism. One possibility is that learning is driven by…
Descriptors: Child Language, Vocabulary Development, Semantics, Phonology
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Zhang, Yayun; Yurovsky, Daniel; Yu, Chen – Cognitive Science, 2021
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 as the visual contexts for word learning. However, these laboratory contexts are much different…
Descriptors: Cognitive Mapping, Language Acquisition, Linguistic Input, Generalization
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Ota, Mitsuhiko; Davies-Jenkins, Nicola; Skarabela, Barbora – Cognitive Science, 2018
Across languages, lexical items specific to infant-directed speech (i.e., 'baby-talk words') are characterized by a preponderance of onomatopoeia (or highly iconic words), diminutives, and reduplication. These lexical characteristics may help infants discover the referential nature of words, identify word referents, and segment fluent speech into…
Descriptors: Linguistic Input, Language Acquisition, Vocabulary Development, Infants
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Montag, Jessica L.; Jones, Michael N.; Smith, Linda B. – Cognitive Science, 2018
The words in children's language learning environments are strongly predictive of cognitive development and school achievement. But how do we measure language environments and do so at the scale of the many words that children hear day in, day out? The quantity and quality of words in a child's input are typically measured in terms of total amount…
Descriptors: Language Acquisition, Vocabulary Development, Linguistic Input, Prediction
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Ouyang, Long; Boroditsky, Lera; Frank, Michael C. – Cognitive Science, 2017
Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of…
Descriptors: Semiotics, Computational Linguistics, Syntax, Semantics
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Valentini, Alessandra; Serratrice, Ludovica – Cognitive Science, 2021
Strong correlations between vocabulary and grammar are well attested in language development in monolingual and bilingual children. What is less clear is whether there is any directionality in the relationship between the two constructs, whether it is predictive over time, and the extent to which it is affected by language input. In the present…
Descriptors: Bilingualism, Correlation, English (Second Language), Second Language Learning
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Gordon, Chelsea L.; Shea, Timothy M.; Noelle, David C.; Balasubramaniam, Ramesh – Cognitive Science, 2019
Rich sensorimotor interaction facilitates language learning and is presumed to ground conceptual representations. Yet empirical support for early stages of embodied word learning is currently lacking. Finding evidence that sensorimotor interaction shapes learned linguistic representations would provide crucial support for embodied language…
Descriptors: Affordances, Vocabulary Development, Computer Simulation, Psychomotor Skills
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Sullivan, Jessica; Boucher, Juliana; Kiefer, Reina J.; Williams, Katherine; Barner, David – Cognitive Science, 2019
Word learning depends critically on the use of linguistic context to constrain the likely meanings of words. However, the mechanisms by which children infer word meaning from linguistic context are still poorly understood. In this study, we asked whether adults (n = 58) and 2- to 6-year-old children (n = 180) use discourse coherence relations…
Descriptors: Cues, Linguistic Theory, Discourse Analysis, Toddlers
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Kachergis, George; Yu, Chen; Shiffrin, Richard M. – Cognitive Science, 2017
Prior research has shown that people can learn many nouns (i.e., word--object mappings) from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing…
Descriptors: Vocabulary Development, Linguistic Theory, Context Effect, Familiarity
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Stevens, Jon Scott; Gleitman, Lila R.; Trueswell, John C.; Yang, Charles – Cognitive Science, 2017
We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed "Pursuit," uses an associative…
Descriptors: Semantics, Associative Learning, Probability, Computational Linguistics
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Janciauskas, Marius; Chang, Franklin – Cognitive Science, 2018
Language learning requires linguistic input, but several studies have found that knowledge of second language (L2) rules does not seem to improve with more language exposure (e.g., Johnson & Newport, 1989). One reason for this is that previous studies did not factor out variation due to the different rules tested. To examine this issue, we…
Descriptors: Linguistic Input, Second Language Learning, Age Differences, Syntax
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Lev-Ari, Shiri – Cognitive Science, 2016
People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals' linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in…
Descriptors: Social Networks, Semantics, Language Processing, Dining Facilities
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Kako, Edward – Cognitive Science, 2005
Why are some words easier to learn than others? And what enables the eventual learning of the more difficult words? These questions were addressed for nouns using a paradigm in which adults were exposed to naturalistic maternal input that was manipulated to simulate access to several different information sources, both alone and in combination:…
Descriptors: Information Sources, Vocabulary Development, Nouns, Models