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Mengfei Zhao; Dongjie Jiang; Jun Wang – Cognitive Science, 2025
Previous research suggests that statistical learning enhances memory for self-related information at the individual level and that individuals exhibit better memory for partner-related items than they do for irrelevant items in joint contexts (i.e., the joint memory effect, JME). However, whether statistical learning improves memory for…
Descriptors: Memory, Task Analysis, Classification, Chinese
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Vong, Wai Keen; Lake, Brenden M. – Cognitive Science, 2022
In order to learn the mappings from words to referents, children must integrate co-occurrence information across individually ambiguous pairs of scenes and utterances, a challenge known as cross-situational word learning. In machine learning, recent multimodal neural networks have been shown to learn meaningful visual-linguistic mappings from…
Descriptors: Vocabulary Development, Cognitive Mapping, Problem Solving, Visual Aids
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Divjak, Dagmar; Milin, Petar; Medimorec, Srdan; Borowski, Maciej – Cognitive Science, 2022
Although there is a broad consensus that both the procedural and declarative memory systems play a crucial role in language learning, use, and knowledge, the mapping between linguistic types and memory structures remains underspecified: by default, a dual-route mapping of language systems to memory systems is assumed, with declarative memory…
Descriptors: Memory, Grammar, Vocabulary Development, Language Processing
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Mulak, Karen E.; Vlach, Haley A.; Escudero, Paola – Cognitive Science, 2019
Cross-situational word learning (XSWL) tasks present multiple words and candidate referents within a learning trial such that word-referent pairings can be inferred only across trials. Adults encode fine phonological detail when two words and candidate referents are presented in each learning trial (2 × 2 scenario; Escudero, Mulak, & Vlach,…
Descriptors: Phonology, Vocabulary Development, Cognitive Mapping, Accuracy
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Shoaib, Amber; Wang, Tianlin; Hay, Jessica F.; Lany, Jill – Cognitive Science, 2018
Infants are sensitive to statistical regularities (i.e., transitional probabilities, or TPs) relevant to segmenting words in fluent speech. However, there is debate about whether tracking TPs results in representations of possible words. Infants show preferential learning of sequences with high TPs (HTPs) as object labels relative to those with…
Descriptors: Infants, Italian, English, Native Language
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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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Morse, Anthony F.; Cangelosi, Angelo – Cognitive Science, 2017
Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to "switch" between…
Descriptors: Vocabulary Development, Language Acquisition, Language Processing, Learning Theories
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Malone, Stephanie A.; Kalashnikova, Marina; Davis, Erin M. – Cognitive Science, 2016
Adults reason by exclusivity to identify the meanings of novel words. However, it is debated whether, like children, they extend this strategy to disambiguate other referential expressions (e.g., facts about objects). To further inform this debate, this study tested 41 adults on four conditions of a disambiguation task: label/label, fact/fact,…
Descriptors: Vocabulary Development, Task Analysis, Ambiguity (Semantics), Adults
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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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Testolin, Alberto; Stoianov, Ivilin; Sperduti, Alessandro; Zorzi, Marco – Cognitive Science, 2016
Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in…
Descriptors: Orthographic Symbols, Neurological Organization, Models, Probability
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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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Mermillod, Martial; Bonin, Patrick; Meot, Alain; Ferrand, Ludovic; Paindavoine, Michel – Cognitive Science, 2012
According to the age-of-acquisition hypothesis, words acquired early in life are processed faster and more accurately than words acquired later. Connectionist models have begun to explore the influence of the age/order of acquisition of items (and also their frequency of encounter). This study attempts to reconcile two different methodological and…
Descriptors: Theories, Language Acquisition, Vocabulary Development, Word Frequency