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Available online at www.sciencedirect.com
In: http://www.lextutor.ca/cv/crossley_cobb_mcn_13.pdf (2013)
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Brain Function Differences in Language Processing in Children and Adults with Autism
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in Monetary Policy and Financial Economics
In: http://reports-archive.adm.cs.cmu.edu/anon/usr0/ftp/usr0/anon/isr2013/CMU-ISR-13-109.pdf (2013)
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Institut National de Recherche en Informatique et Automatique
In: http://tel.archives-ouvertes.fr/docs/00/78/32/45/PDF/Thesis-submitted_version.pdf (2013)
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Published In
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Cerebral Cortex doi:10.1093/cercor/bhr162 Distinctive Neural Processes during Learning in Autism
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and a Change in Network Timing
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8
Differentiable cortical networks for inferences concerning people’s intentions versus physical causality
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9
Commonality of neural representations of words and pictures
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11
Identifying bilingual semantic neural representations across languages
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12
Published In
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13
Cognition in Autism: Evidence from an fMRI Study of an Embedded Figures Task
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14
Research Showcase @ CMU
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15
Essex Graduate Student Papers in Language and Linguistics
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
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
In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseZwaan2009.pdf (2009)
Abstract: Population counts and longitude and latitude coordinates were estimated for the 50 largest cities in the United States by computational linguistic techniques and by human participants. The mathematical technique Latent Semantic Analysis applied to newspaper texts produced similarity ratings between the 50 cities that allowed for a multidimensional scaling (MDS) of these cities. MDS coordinates correlated with the actual longitude and latitude of these cities, showing that cities that are located together share similar semantic contexts. This finding was replicated using a first-order co-occurrence algorithm. The computational estimates of geographical location as well as population were akin to human estimates. These findings show that language encodes geographical information that language users in turn may use in their understanding of language and the world.
Keyword: Computational linguistics; Corpus linguistics; Geographical coordinates; Geography; Latent semantic analysis; Multidimensional scaling; Semantic; Spatial cognition; Word frequency
URL: http://www.madresearchlab.org/Selected_Publications_files/LouwerseZwaan2009.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.149
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18
Recent Advances in Computational Linguistics
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
In: http://conf.uni-obuda.hu/cinti2008/40_cinti2008_submission.pdf (2008)
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20
A large-scale classification of English verbs
In: http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf (2008)
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