1 |
One model for the learning of language.
|
|
|
|
In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
One model for the learning of language
|
|
|
|
In: Proc Natl Acad Sci U S A (2022)
|
|
BASE
|
|
Show details
|
|
5 |
The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
|
|
|
|
In: Springer Netherlands (2020)
|
|
BASE
|
|
Show details
|
|
6 |
Recursive sequence generation in monkeys, children, U.S. adults, and native Amazonians
|
|
|
|
In: Sci Adv (2020)
|
|
Abstract:
The question of what computational capacities, if any, differ between humans and nonhuman animals has been at the core of foundational debates in cognitive psychology, anthropology, linguistics, and animal behavior. The capacity to form nested hierarchical representations is hypothesized to be essential to uniquely human thought, but its origins in evolution, development, and culture are controversial. We used a nonlinguistic sequence generation task to test whether subjects generalize sequential groupings of items to a center-embedded, recursive structure. Children (3 to 5 years old), U.S. adults, and adults from a Bolivian indigenous group spontaneously induced recursive structures from ambiguous training data. In contrast, monkeys did so only with additional exposure. We quantify these patterns using a Bayesian mixture model over logically possible strategies. Our results show that recursive hierarchical strategies are robust in human thought, both early in development and across cultures, but the capacity itself is not unique to humans.
|
|
Keyword:
Research Articles
|
|
URL: https://doi.org/10.1126/sciadv.aaz1002 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319756/ http://www.ncbi.nlm.nih.gov/pubmed/32637593
|
|
BASE
|
|
Hide details
|
|
7 |
Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012)
|
|
|
|
In: Other repository (2019)
|
|
BASE
|
|
Show details
|
|
8 |
Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Word Forms Are Structured for Efficient Use
|
|
|
|
In: Prof. Gibson via Courtney Crummett (2018)
|
|
BASE
|
|
Show details
|
|
14 |
Color naming across languages reflects color use
|
|
|
|
In: National Academy of Sciences (2018)
|
|
BASE
|
|
Show details
|
|
15 |
Words cluster phonetically beyond phonotactic regularities
|
|
|
|
In: Prof. Gibson via Courtney Crummett (2017)
|
|
BASE
|
|
Show details
|
|
18 |
Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages
|
|
|
|
In: Prof. Gibson via Courtney Crummett (2016)
|
|
BASE
|
|
Show details
|
|
20 |
A Corpus Investigation of Syntactic Embedding in Piraha
|
|
|
|
In: PLoS (2015)
|
|
BASE
|
|
Show details
|
|
|
|