| 1 |
Similar neural correlates for language and sequential learning: Evidence from event-related brain potentials
|
|
|
|
In: http://cnl.psych.cornell.edu/pubs/2012-cco-LCP.pdf (2012)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Toward a New Scientific Visualization for the Language Sciences
|
|
|
|
In: Information ; Volume 3 ; Issue 1 ; Pages 124-150 (2012)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
An empirical generative framework for computational modeling of language acquisition
|
|
|
|
In: http://www.wisdom.weizmann.ac.il/%7Eedelman/Waterfall-Sandbank-Onnis-Edelman-JCL10.pdf (2010)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Lexical categories at the edge of the word
|
|
|
|
In: http://www2.hawaii.edu/~lucao/papers/OnnisChristiansen2008.pdf (2008)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
1Variability is an important ingredient in learning
|
|
|
|
In: http://bcl.wjh.harvard.edu/images/uploaded/File/Onnisetal-variability.pdf (2006)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
New beginnings and happy endings: Psychological plausibility in computational models of language acquisition
|
|
|
|
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2005/docs/p1678.pdf (2005)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
New beginnings and happy endings: Psychological plausibility in computational models of language acquisition
|
|
|
|
In: http://www.psych.unito.it/csc/cogsci05/frame/talk/p807-onnis.pdf (2005)
|
|
Abstract:
Language acquisition may be one of the most difficult tasks that children face during development. They have to segment words from fluent speech, figure out the meanings of these words, and discover the syntactic constraints for joining them together into meaningful sentences. Over the past couple of decades computational modeling has emerged as a new paradigm for gaining insights into the mechanisms by which children may accomplish these feats. Unfortunately, many of these models assume linguistic knowledge likely to be beyond the abilities of developing young children. In this paper, we argue that for computational models to be theoretically viable they must be psychologically plausible. Consequently, the computational principles have to be relatively simple, and ideally empirically attested in the behavior of children. To demonstrate the usefulness of simple computational mechanisms in language acquisition, we present results from a series of corpus analyses involving a simple model for discovering lexical categories using word beginnings and endings.
|
|
URL: http://www.psych.unito.it/csc/cogsci05/frame/talk/p807-onnis.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.490.749
|
|
BASE
|
|
Hide details
|
|
|
| 8 |
New beginnings and happy endings: Psychological plausibility in computational models of language acquisition
|
|
|
|
In: http://cnl.psych.cornell.edu/pubs/2005-oc-CogSci.pdf (2005)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Corresponding author:
|
|
|
|
In: http://www.cstr.ed.ac.uk/downloads/publications/2005/jml.pdf (2005)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Variability is the spice of learning, and a crucial ingredient for detecting and generalizing in nonadjacent dependencies
|
|
|
|
In: http://cnl.psych.cornell.edu/pubs/2004-OMCC-cogsci.pdf (2004)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Reduction of uncertainty in human sequential learning: evidence from artificial language learning
|
|
|
|
In: http://www.dectech.co.uk/publications/LinksNick/Language/Reduction of Uncertainty in Human Sequential Learning Eviden.pdf (2003)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Using Phoneme Distributions to Discover Words and Lexical Categories in Unsegmented Speech
|
|
|
|
In: http://cnl.psych.cornell.edu/pubs/2006-cho-cogsci.pdf
|
|
BASE
|
|
Show details
|
|
|
| 13 |
lexical categories
|
|
|
|
In: http://cnl.psych.cornell.edu/pubs/2009-coh-Dev-Science.pdf
|
|
BASE
|
|
Show details
|
|
|
| 14 |
1 Language-induced Biases on Human Sequential Learning
|
|
|
|
In: http://mindmodeling.org/cogsci2012/papers/0150/paper0150.pdf
|
|
BASE
|
|
Show details
|
|
|
| 15 |
1 Acquisition and Evolution of Natural Language 134 Acquisition and Evolution of quasi-regular languages: Two puzzles for the price of one. Abstract
|
|
|
|
In: http://cnl.psych.cornell.edu/papers/Roberts_Onnis_Chater.pdf
|
|
BASE
|
|
Show details
|
|
|
| 16 |
References words: 843 Total words: 1,949 The Bottleneck May Be the Solution, Not the Problem
|
|
|
|
In: http://kybele.psych.cornell.edu/%7Eedelman/Archive/Lotem-et-al-on-Christiansen-and-Chater-resubmitted.pdf
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Variation Sets Facilitate Artificial Language Learning
|
|
|
|
In: http://www.wisdom.weizmann.ac.il/~edelman/OnnisWaterfallEdelman-variation-sets-CogSci08.pdf
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Variation Sets Facilitate Artificial Language Learning
|
|
|
|
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1011.pdf
|
|
BASE
|
|
Show details
|
|
|
|
|
