Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Language Acquisition | 3 |
Psycholinguistics | 3 |
Task Analysis | 3 |
Adults | 2 |
Inferences | 2 |
Language Processing | 2 |
Linguistic Input | 2 |
Prediction | 2 |
Accuracy | 1 |
Artificial Languages | 1 |
Auditory Stimuli | 1 |
More ▼ |
Source
Language Learning and… | 3 |
Author
Avrutin, Sergey | 1 |
Gagliardi, Annie | 1 |
Lidz, Jeffrey | 1 |
Perfors, Amy | 1 |
Radulescu, Silvia | 1 |
Wellwood, Alexis | 1 |
Wijnen, Frank | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Audience
Location
Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Radulescu, Silvia; Wijnen, Frank; Avrutin, Sergey – Language Learning and Development, 2020
From limited evidence, children track the regularities of their language impressively fast and they infer generalized rules that apply to novel instances. This study investigated what drives the inductive leap from memorizing specific items and statistical regularities to extracting abstract rules. We propose an innovative entropy model that…
Descriptors: Linguistic Input, Language Acquisition, Grammar, Learning Processes
Perfors, Amy – Language Learning and Development, 2016
In a variety of domains, adults who are given input that is only partially consistent do not discard the inconsistent portion (regularize) but rather maintain the probability of consistent and inconsistent portions in their behavior (probability match). This research investigates the possibility that adults probability match, at least in part,…
Descriptors: Pragmatics, Linguistic Input, Adults, Language Variation
Wellwood, Alexis; Gagliardi, Annie; Lidz, Jeffrey – Language Learning and Development, 2016
Acquiring the correct meanings of words expressing quantities ("seven, most") and qualities ("red, spotty") present a challenge to learners. Understanding how children succeed at this requires understanding, not only of what kinds of data are available to them, but also the biases and expectations they bring to the learning…
Descriptors: Syntax, Computational Linguistics, Task Analysis, Prediction