Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Artificial Intelligence | 3 |
Language Acquisition | 3 |
Language Patterns | 3 |
Models | 3 |
Computational Linguistics | 2 |
Adult Learning | 1 |
Biology | 1 |
Computer Assisted Instruction | 1 |
Computer Mediated… | 1 |
Computer Software | 1 |
Context Effect | 1 |
More ▼ |
Author
Arn, Sean | 1 |
Brand, James | 1 |
Denby, Thomas | 1 |
Dimov, Svetlin | 1 |
Edelman, Shimon | 1 |
Goldrick, Matthew | 1 |
Kolodny, Oren | 1 |
Lotem, Arnon | 1 |
Schecter, Jeffrey | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Descriptive | 1 |
Education Level
Adult Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Denby, Thomas; Schecter, Jeffrey; Arn, Sean; Dimov, Svetlin; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…
Descriptors: Phonology, Probability, Learning Processes, Syllables
Kolodny, Oren; Lotem, Arnon; Edelman, Shimon – Cognitive Science, 2015
We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given…
Descriptors: Grammar, Natural Language Processing, Computer Mediated Communication, Graphs

Brand, James – CALICO Journal, 1987
Describes the language learning program "Acquire," which is a sample of grammar induction. It is a learning algorithm based on a pattern-matching scheme, using both a positive and negative network to reduce overgeneration. Language learning programs may be useful as tutorials for learning the syntax of a foreign language. (Author/LMO)
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction, Computer Software