Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Memory | 5 |
Syntax | 5 |
Language Acquisition | 4 |
Language Processing | 4 |
Abstract Reasoning | 3 |
Computational Linguistics | 3 |
Models | 3 |
Children | 2 |
Figurative Language | 2 |
Linguistic Input | 2 |
Morphology (Languages) | 2 |
More ▼ |
Source
First Language | 5 |
Author
Ambridge, Ben | 1 |
Brown, Esther L. | 1 |
Coumel, Marion | 1 |
Frank, Michael C. | 1 |
Hardy, Sophie M. | 1 |
Kachergis, George | 1 |
Mahowald, Kyle | 1 |
Messenger, Katherine | 1 |
Riches, Nick | 1 |
Shin, Naomi | 1 |
Publication Type
Journal Articles | 5 |
Reports - Evaluative | 3 |
Opinion Papers | 2 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Elementary Education | 1 |
Audience
Location
Mexico | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Messenger, Katherine; Hardy, Sophie M.; Coumel, Marion – First Language, 2020
The authors argue that Ambridge's radical exemplar account of language cannot clearly explain all syntactic priming evidence, such as inverse preference effects ("greater" priming for less frequent structures), and the contrast between short-lived lexical boost and long-lived abstract priming. Moreover, without recourse to a level of…
Descriptors: Language Acquisition, Syntax, Priming, Criticism
Riches, Nick – First Language, 2020
Short term memory (STM) and working memory (WM) performance consistently predict language abilities in children with developmental language disorders. However, causality is not fully established. Moreover, evidence from the fine-grained analysis of STM/WM tasks and comprehension of complex sentences, suggests that long term memory (LTM)…
Descriptors: Syntax, Verbal Ability, Short Term Memory, Language Skills
Mahowald, Kyle; Kachergis, George; Frank, Michael C. – First Language, 2020
Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…
Descriptors: Models, Language Processing, Computational Linguistics, Language Acquisition
Brown, Esther L.; Shin, Naomi – First Language, 2022
Child language acquisition research has provided ample evidence of lexical frequency effects. This corpus-based analysis introduces a novel frequency measure shown to significantly constrain adult language variation, but heretofore unexplored in child language acquisition research. Among adults, frequent occurrence of a form in a particular…
Descriptors: Language Acquisition, Form Classes (Languages), Word Frequency, Computational Linguistics
Ambridge, Ben – First Language, 2020
The goal of this article is to make the case for a radical exemplar account of child language acquisition, under which unwitnessed forms are produced and comprehended by on-the-fly analogy across multiple stored exemplars, weighted by their degree of similarity to the target with regard to the task at hand. Across the domains of (1) word meanings,…
Descriptors: Language Acquisition, Morphology (Languages), Phonetics, Phonology