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The Pennsylvania State University CiteSeerX Archives (180)
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Hits 1 – 20 of 180
1
Available online at www.sciencedirect.com
Scott A. Crossley A
;
Tom Cobb B
;
Danielle S. Mcnamara C
In: http://www.lextutor.ca/cv/crossley_cobb_mcn_13.pdf (2013)
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2
Brain Function Differences in Language Processing in Children and Adults with Autism
Diane L. Williams
;
Vladimir L. Cherkassky
;
Robert A. Mason
. - 2013
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3
in Monetary Policy and Financial Economics
Eric A. Daimler
;
Carolyn P. Rosé
;
James Burnham
...
In: http://reports-archive.adm.cs.cmu.edu/anon/usr0/ftp/usr0/anon/isr2013/CMU-ISR-13-109.pdf (2013)
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4
Institut National de Recherche en Informatique et Automatique
Université De Lorraine
;
École Doctorale Iaem Informatique
;
Ekaterina Lebedeva
In: http://tel.archives-ouvertes.fr/docs/00/78/32/45/PDF/Thesis-submitted_version.pdf (2013)
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5
Published In
Svetlana V. Shinkareva
;
Vicente L. Malave
;
Marcel Adam Just
. - 2012
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6
Cerebral Cortex doi:10.1093/cercor/bhr162 Distinctive Neural Processes during Learning in Autism
Sarah E. Schipul
;
Diane L. Williams
;
Timothy A. Keller
. - 2012
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7
and a Change in Network Timing
Augusto Buchweitz
;
Timothy A. Keller
;
Ann Meyler
. - 2012
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8
Differentiable cortical networks for inferences concerning people’s intentions versus physical causality
Robert A. Mason
;
Marcel Adam Just
. - 2011
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9
Commonality of neural representations of words and pictures
Svetlana V. Shinkareva
;
Vincente L. Malave
;
Robert A. Mason
. - 2011
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10
Authors
Akiko Mizuno
;
Yanni Liu
;
Diane L. Williams
. - 2011
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11
Identifying bilingual semantic neural representations across languages
Augusto Buchweitz
;
Svetlana V. Shinkareva
;
Robert A. Mason
. - 2011
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12
Published In
Kai-min Kevin Chang
;
Tom Mitchell
;
Marcel Adam Just
. - 2011
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13
Cognition in Autism: Evidence from an fMRI Study of an Embedded Figures Task
Saudamini Damarla
;
Timothy A. Keller
;
Rajesh K. Kana
. - 2010
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14
Research Showcase @ CMU
Augusto Buchweitz
;
Robert A. Mason
;
Tomitch Leda
. - 2009
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15
Essex Graduate Student Papers in Language and Linguistics
Colchester Co Sq
In: http://www.essex.ac.uk/langling/documents/research/egspll_vol11.pdf (2009)
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16
Statistical language models within the algebra of weighted rational languages
Thomas Hanneforth
;
Kay-michael Würzner
In: http://www.inf.u-szeged.hu/actacybernetica/edb/vol19n2/pdf/Hanneforth_2009_ActaCybernetica.pdf (2009)
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17
Language encodes geographical information
Max M. Louwerse
;
A Rolf A. Zwaan B
In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseZwaan2009.pdf (2009)
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18
Recent Advances in Computational Linguistics
Yulia Ledeneva
;
Santiago Tianguistenco
;
Grigori Sidorov
In: http://www.informatica.si/PDF/34-1/01_Lendeva%20-%20Recent%20Advances%20in%20Computational%20Linguistics.pdf (2009)
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19
A.: Automatic Acquisition of Hungarian Subcategorization Frames
András Serény
;
Eszter Simon
;
Anna Babarczy
In: http://conf.uni-obuda.hu/cinti2008/40_cinti2008_submission.pdf (2008)
Abstract:
Abstract: Research on the automatic acquisition of lexical knowledge has recently gained increased attention in computational linguistics. Certain linguistic phenomena (e.g., ambiguity) pose computational problems that can only be solved if the system has access to lexical knowledge in general and to verb subcategorization frames in particular. Automatic subcategorization learning systems have been developed for most European languages. In the present paper a Hungarian adaptation of successful models constructed for other languages is discussed. The key approach adopted for our model is a statistical learning mechanism originally devised by Brent [6] and applied in a number of systems. In addition to, and in parallel with, the development of a system for the automatic acquisition of subcategorization frames, our project in progress has the broader aim of modelling the mechanisms of child language acquisition, specifically the process of learning argument structures (subcategorization frames) from the input available to young children. The outcome of our computational model will be tested against child language corpora: the model is taken to be successful if the development curves characterizing the machine learning algorithms match the characteristic U-shaped acquisition curves observed in child language.
Keyword:
automatic subcategorization frame
;
computational linguistics
URL:
http://conf.uni-obuda.hu/cinti2008/40_cinti2008_submission.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.659.5692
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20
A large-scale classification of English verbs
Anna Korhonen
;
Neville Ryant
;
Martha Palmer
In: http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf (2008)
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