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The Pennsylvania State University CiteSeerX Archives (13)
Dematties, Dario (4)
Rizzi, Silvio (4)
Thiruvathukal, George K. (4)
Wainselboim, Alejandro Javier (4)
Zanutto, Bonifacio Silvano (4)
Morten H. Christiansen (3)
Perez, Mauricio D. (3)
Antje S. Meyer (2)
Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria) (2)
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Hits 41 – 60 of 65
41
Ventral Premotor Cortex Lesions disrupt learning of sequential syntactic structures
Bertram Opitz A
;
Sonja A. Kotz B
In: http://epubs.surrey.ac.uk/737178/1/Opitz.2012.Cortex. AGL vPM Patients.final Revision.pdf (2009)
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42
Assimilation as Attraction: Computing Distance, Similarity, and Locality in Phonology
Wayment, Adam
. - 2009
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43
Unspoken knowledge : implicit learning of structured human dance movement
Opacic, Tajana
;
Stevens, Catherine J.
;
Tillmann, Barbara
. - : U.S., American Psychological Association, 2009
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44
Formal and Cognitive Restrictions on Vowel Harmony
Finley, Sara
. - 2008
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45
Learning Recursive Automata from Positive Examples
Tellier, Isabelle
In: ISSN: 0992-499X ; EISSN: 1958-5748 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle ; https://hal.inria.fr/inria-00470101 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2006, New Methods in Machine Learning. Theory and Applications, 20 (6), pp.775-804. ⟨10.3166/ria.20.775-804⟩ (2006)
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46
Domain General Rule Abstraction in 8-month-old Infants
Grafmiller, Jason
. - : "The Ohio State University", 2006
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47
Phonology impacts segmentation in online speech processing
Onnis, L
;
Monaghan, P
;
Richmond, K
;
Chater, N
In: J MEM LANG , 53 (2) 225 - 237. (2005) (2005)
Abstract:
Pena, Bonatti, Nespor, and Mehler (2002) investigated an artificial language where the structure of words was determined by nonadjacent dependencies between syllables. They found that segmentation of continuous speech could proceed on the basis of these dependencies. However, Pena et al.'s artificial language contained a confound in terms of phonology, in that the dependent syllables began with plosives and the intervening syllables began with continuants. We consider three hypotheses concerning the role of phonology in speech segmentation in this task: (1) participants may recruit probabilistic phonotactic information from their native language to the artificial language learning task; (2) phonetic properties of the stimuli, such as the gaps that precede unvoiced plosives, can influences segmentation; and (3) grouping by phonological similarity, between dependent syllables contributes to learning the dependency. In a series of experiments controlling the phonological and statistical structure of the language, we found that segmentation performance is influenced by the three factors in different degrees. Learning of nonadjacent dependencies did not occur when (3) is eliminated. We suggest that phonological processing provides a fundamental contribution to distributional analysis. (c) 2005 Elsevier Inc. All rights reserved.
Keyword:
8-MONTH-OLD INFANTS
;
artificial language learning
;
CUES
;
GRAMMAR
;
phonology
;
segmentation
;
statistical learning
;
STATISTICS
;
WORD SEGMENTATION
URL:
http://discovery.ucl.ac.uk/146898/
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48
Computerlinguistik - neue Wege in der Lehre
Lemnitzer, Lothar
(Mitarb.);
Schröder, Bernhard
(Mitarb.);
Wagner, Petra
(Mitarb.)...
In:
Sprache und Datenverarbeitung. - Duisburg : Univ.-Verl. Rhein-Ruhr
27 (2003) 1-2, 5-237
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49
T.A.L. et Internet
Madec, Henri
(Hrsg.);
Aoun, Marie
(Mitarb.);
Mesnier, Delphine
(Mitarb.)...
In:
BULAG. - Besançon : Presses Univ. de Franche-Comté
26 (2001), 3-262
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50
Context-free and context-sensitive dynamics in recurrent neural networks
Boden, Mikael
;
Wiles, Janet
. - : Taylor & Francis., 2000
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51
Artificial Grammar Learning by 1-Year-Olds Leads to Specific and Abstract Knowledge
Rebecca L. Gomez
;
Louann Gerken
In: http://dingo.sbs.arizona.edu/~gerken/Articles/Gomez%26Gerken.pdf (1999)
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52
A cross-linguistic study in learning prosodic rhythms: Rules, constraints, and similarity
Bailey, TM
;
Plunkett, K
;
Scarpa, E
In: Symplectic Elements at Oxford ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; CrossRef (1999)
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53
Beyond grammar : an experience-based theory of language
Bod, Rens
;
Kaplan, Ronald
(Mitarb.). - Stanford, Calif. : CSLI Publ., 1998
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UB Frankfurt Linguistik
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54
Travaux de traitement automatique du langage
Cornu, Etienne
(Mitarb.);
Tschichold, Cornelia
(Mitarb.);
Tschumi, Corinne
(Mitarb.)...
In:
Travaux neuchâtelois de linguistique. - Neuchâtel : Inst. des Sciences du Langage et de la Communication
(1994) 21, 179-263
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55
Tell me a story : a new look at real and artificial memory
Schank, Roger C.
. - New York, NY : Scribner [u.a.], 1990
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UB Frankfurt Linguistik
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56
Understanding cognitive science
MacTear, Michael
(Hrsg.). - Chichester [u.a.] : Horwood [u.a.], 1988
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UB Frankfurt Linguistik
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57
Address correspondence to:
Malathi Thothathiri
;
Jesse Snedeker
;
Erin Hannon
In: http://www.wjh.harvard.edu/~lds/pdfs/pdfs/pdfs/Thothathiri%20Snedeker%20Hannon%20submitted.pdf
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58
Linguistic and Non-Linguistic Influences on Learning Biases for Vowel Harmony
Sara Finley
;
William Badecker
In: http://www.cog.jhu.edu/grad-students/finley/cogsci-shapesFINAL.pdf
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59
Integrating Syntactic and Semantic Tools in Sfy A Case Study in Lexical Acquisition
Paul M. Heider
In: http://www-student.cse.buffalo.edu/~pmheider/papers/TheShotgunApproach_PaulMHeider2008.pdf
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60
A Matter of Time: Implicit Acquisition of Recursive Sequence Structures
In: http://141.14.165.6/CogSci09/papers/562/paper562.pdf
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