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One model for the learning of language.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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One model for the learning of language
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In: Proc Natl Acad Sci U S A (2022)
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The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
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In: Springer Netherlands (2020)
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Recursive sequence generation in monkeys, children, U.S. adults, and native Amazonians
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In: Sci Adv (2020)
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Post Hoc Analysis Decisions Drive the Reported Reading Time Effects in Hackl, Koster-Hale & Varvoutis (2012)
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In: Other repository (2019)
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Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
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Table of assumptions used in our estimates from Humans store about 1.5 megabytes of information during language acquisition ...
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Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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Supplementary material from "Humans store about 1.5 megabytes of information during language acquisition" ...
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Word Forms Are Structured for Efficient Use
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In: Prof. Gibson via Courtney Crummett (2018)
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Color naming across languages reflects color use
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In: National Academy of Sciences (2018)
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Words cluster phonetically beyond phonotactic regularities
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In: Prof. Gibson via Courtney Crummett (2017)
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The Natural Stories Corpus ...
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Abstract:
It is now a common practice to compare models of human language processing by predicting participant reactions (such as reading times) to corpora consisting of rich naturalistic linguistic materials. However, many of the corpora used in these studies are based on naturalistic text and thus do not contain many of the low-frequency syntactic constructions that are often required to distinguish processing theories. Here we describe a new corpus consisting of English texts edited to contain many low-frequency syntactic constructions while still sounding fluent to native speakers. The corpus is annotated with hand-corrected parse trees and includes self-paced reading time data. Here we give an overview of the content of the corpus and release the data. ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1708.05763 https://arxiv.org/abs/1708.05763
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Wordform Similarity Increases With Semantic Similarity: An Analysis of 100 Languages
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In: Prof. Gibson via Courtney Crummett (2016)
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A Corpus Investigation of Syntactic Embedding in Piraha
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In: PLoS (2015)
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