Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 19 |
Since 2006 (last 20 years) | 22 |
Descriptor
Prediction | 22 |
Models | 11 |
Language Acquisition | 10 |
Linguistic Theory | 8 |
Computational Linguistics | 7 |
Linguistic Input | 7 |
Speech Communication | 7 |
Correlation | 6 |
Language Research | 6 |
Semantics | 6 |
Contrastive Linguistics | 5 |
More ▼ |
Source
Cognitive Science | 22 |
Author
Frank, Stefan L. | 2 |
Jones, Michael N. | 2 |
Pine, Julian M. | 2 |
Westbury, Chris | 2 |
Alishahi, Afra | 1 |
Ambridge, Ben | 1 |
Biemann, Chris | 1 |
Bowles, Anita R. | 1 |
Casillas, Marisa | 1 |
Cho, Sun-Joo | 1 |
Clark, Alexander | 1 |
More ▼ |
Publication Type
Journal Articles | 22 |
Reports - Research | 20 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Early Childhood Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Freudenthal, Daniel; Ramscar, Michael; Leonard, Laurence B.; Pine, Julian M. – Cognitive Science, 2021
Children with developmental language disorder (DLD) have significant deficits in language ability that cannot be attributed to neurological damage, hearing impairment, or intellectual disability. The symptoms displayed by children with DLD differ across languages. In English, DLD is often marked by severe difficulties acquiring verb inflection.…
Descriptors: Verbs, Language Impairments, Symptoms (Individual Disorders), Associative Learning
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
Matusevych, Yevgen; Schatz, Thomas; Kamper, Herman; Feldman, Naomi H.; Goldwater, Sharon – Cognitive Science, 2023
In the first year of life, infants' speech perception becomes attuned to the sounds of their native language. This process of early phonetic learning has traditionally been framed as phonetic category acquisition. However, recent studies have hypothesized that the attunement may instead reflect a perceptual space learning process that does not…
Descriptors: Infants, Phonetics, Language Acquisition, Speech Communication
van Schijndel, Marten; Linzen, Tal – Cognitive Science, 2021
The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse can lead to slower reading at the disambiguation point. This phenomenon, referred to as a garden-path effect, has motivated models in which readers initially maintain only a subset of the possible parses of the sentence, and subsequently require…
Descriptors: Syntax, Ambiguity (Semantics), Reading Processes, Linguistic Theory
Wang, Wentao; Vong, Wai Keen; Kim, Najoung; Lake, Brenden M. – Cognitive Science, 2023
Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this…
Descriptors: Brain Hemisphere Functions, Linguistic Input, Longitudinal Studies, Self Concept
Roete, Ingeborg; Frank, Stefan L.; Fikkert, Paula; Casillas, Marisa – Cognitive Science, 2020
We trained a computational model (the Chunk-Based Learner; CBL) on a longitudinal corpus of child-caregiver interactions in English to test whether one proposed statistical learning mechanism--backward transitional probability--is able to predict children's speech productions with stable accuracy throughout the first few years of development. We…
Descriptors: Statistics, Linguistic Input, Children, Speech Communication
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
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
Jacobs, Cassandra L.; Cho, Sun-Joo; Watson, Duane G. – Cognitive Science, 2019
Syntactic priming in language production is the increased likelihood of using a recently encountered syntactic structure. In this paper, we examine two theories of why speakers can be primed: error-driven learning accounts (Bock, Dell, Chang, & Onishi, 2007; Chang, Dell, & Bock, 2006) and activation-based accounts (Pickering &…
Descriptors: Priming, Syntax, Prediction, Linguistic Theory
Johns, Brendan T.; Mewhort, Douglas J. K.; Jones, Michael N. – Cognitive Science, 2019
Distributional models of semantics learn word meanings from contextual co-occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co-occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co-occurrences…
Descriptors: Semantics, Learning Processes, Models, Prediction
Lau, Jey Han; Clark, Alexander; Lappin, Shalom – Cognitive Science, 2017
The question of whether humans represent grammatical knowledge as a binary condition on membership in a set of well-formed sentences, or as a probabilistic property has been the subject of debate among linguists, psychologists, and cognitive scientists for many decades. Acceptability judgments present a serious problem for both classical binary…
Descriptors: Grammar, Probability, Sentences, Language Research
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
Hofmann, Markus J.; Biemann, Chris; Westbury, Chris; Murusidze, Mariam; Conrad, Markus; Jacobs, Arthur M. – Cognitive Science, 2018
What determines human ratings of association? We planned this paper as a test for association strength (AS) that is derived from the log likelihood that two words co-occur significantly more often together in sentences than is expected from their single word frequencies. We also investigated the moderately correlated interactions of word…
Descriptors: Prediction, Correlation, Word Frequency, Emotional Response
Turri, John; Park, YeounJun – Cognitive Science, 2018
Evidence from life science, cognitive science, and philosophy supports the hypothesis that knowledge is a central norm of the human practice of assertion. However, to date, the experimental evidence supporting this hypothesis is limited to American anglophones. If the hypothesis is correct, then such findings will not be limited to one language or…
Descriptors: Korean, Translation, Linguistic Theory, Prediction
Çöltekin, Çagri – Cognitive Science, 2017
This study investigates a strategy based on predictability of consecutive sub-lexical units in learning to segment a continuous speech stream into lexical units using computational modeling and simulations. Lexical segmentation is one of the early challenges during language acquisition, and it has been studied extensively through psycholinguistic…
Descriptors: Speech Communication, Phonemes, Prediction, Computational Linguistics
Previous Page | Next Page »
Pages: 1 | 2