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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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Differentiable cortical networks for inferences concerning people’s intentions versus physical causality
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Commonality of neural representations of words and pictures
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Identifying bilingual semantic neural representations across languages
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Published In
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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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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)
Abstract: Statistical language models are an important tool in natural language processing. They represent prior knowledge about a certain language which is usually gained from a set of samples called a corpus. In this paper, we present a novel way of creating N-gram language models using weighted finite automata. The construction of these models is formalised within the algebra underlying weighted finite automata and expressed in terms of weighted rational languages and transductions. Besides the algebra we make use of five special constant weighted transductions which rely only on the alphabet and the model parameter N. In addition, we discuss efficient implementations of these transductions in terms of virtual constructions.
Keyword: computational linguistics; statistical; weighted rational transductions
URL: http://www.inf.u-szeged.hu/actacybernetica/edb/vol19n2/pdf/Hanneforth_2009_ActaCybernetica.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.429.8041
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17
Language encodes geographical information
In: http://www.madresearchlab.org/Selected_Publications_files/LouwerseZwaan2009.pdf (2009)
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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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A large-scale classification of English verbs
In: http://verbs.colorado.edu/~kipper/Papers/lrec-journal.pdf (2008)
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