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Insights into event representation from a sensorimotor model of event perception
In: ICDL 2020 - 1st SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) workshop ; https://hal.archives-ouvertes.fr/hal-03202971 ; ICDL 2020 - 1st SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) workshop, Nov 2020, Valparaiso / Virtual, Chile ; https://sites.google.com/view/smiles-workshop/ (2020)
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2
Modelling type-denoting concepts and words in a simulation of vocabulary development.
Webb, Andrew. - : University of Otago, 2015
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3
Syntactic Structures as Descriptions of Sensorimotor Processes
In: BIOLINGUISTICS; Vol. 8 (2014); 001-052 ; 1450-3417 (2014)
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4
A Neural Network Model of Causative Actions
Lee-Hand, Jeremy Sein Ong. - : University of Otago, 2013
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5
Sensorimotor cognition and natural language syntax
Knott, Alistair. - Cambridge, Mass. [u.a.] : The MIT Press, 2012
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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6
Sensorimotor cognition and natural language syntax
Knott, Alistair. - Cambridge, Massachusetts : MIT Press, 2012, [2012]©2012
MPI für Psycholinguistik
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7
Sensorimotor cognition and natural language syntax
Knott, Alistair. - Cambridge, Mass. [u.a.] : MIT Press, 2012
MPI-SHH Linguistik
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8
Mapping sensorimotor sequences to word sequences: a connectionist model of language acquisition and sentence generation
In: Cognition. - Amsterdam [u.a] : Elsevier 125 (2012) 2, 288-308
BLLDB
OLC Linguistik
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9
Sensorimotor cognition and natural language syntax
Knott, Alistair. - Cambridge, Mass. [u.a.] : MIT Press, 2012
BLLDB
UB Frankfurt Linguistik
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10
Pragmatic Bootstrapping: A Neural Network Model of Vocabulary Acquisition
In: Language learning and development. - Philadelphia, Pa. : Taylor & Francis 8 (2012) 2, 113-135
OLC Linguistik
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11
Techniques for utterance disambiguation in a human-computer dialogue system
Lurcock, Pontus Conrad. - : University of Otago, 2012
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12
A Statistical Model of Error Correction for Computer Assisted Language Learning Systems
Basiron, Halizah. - : University of Otago, 2012
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13
The role of social-pragmatic cues in word learning: a neural network model
Caza, Gregory Andrew. - : University of Otago, 2011
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14
Dialogue-based CALL: a case study on teaching pronouns
In: Computer assisted language learning. - Colchester [u.a.] : Taylor & Francis 22 (2009) 2, 115-131
BLLDB
OLC Linguistik
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15
A Perceptual Basis for Noun Phrase Syntax
Walles, Hayden. - : University of Otago, 2009
Abstract: Human language is the result of both biological and cultural evolution. To have the best chance of understanding language we must seek all the constraints of that evolution. In the first part of my thesis I propose the general hypothesis that the sensorimotor system is one of those constraints and argue that regardless of whether language is the result of biological evolution, cultural evolution, or both, we should expect idiosyncrasies of the sensorimotor system to be reflected in linguistic structure. The bulk of the thesis explores a particular version of this hypothesis – namely that visual attention and classification of objects are reflected in noun phrase syntax. Within the noun phrase the noun stem (e.g. “dog”) and number morphology (e.g. “-s”) are contributed by separate syntactic elements; I argue that this reflects a separation of functionality in the sensorimotor system. To begin an exploration of this hypothesis I draw upon existing models of visual attention by Itti and Koch (2000) and object classification by Mozer and Sitton (1998), adapting and combining them into a new computational model. The key new idea in the model is that object classification is cardinality blind which means its output is the same whether presented with one token of a class or many tokens of the class. This allows groups of similar objects to be handled at once. I implement a model of classification which, like primate object classification, is location invariant. In my model cardinality blindness emerges naturally from location invariance. I argue the same thing happens in primates, reviewing neurophysiological evidence for this. To cater for a cardinality-blind classifier I also implement extensions to a standard model of visual attention. The combined classifier and attentional models elegantly reproduce a number of human results, including Gestalt grouping by similarity, global precedence (Navon, 1977) and the role of stimulus similarity in visual search (Duncan and Humphreys, 1989). These results show that the model does useful work in an account of the visual system. With the visual foundation established I propose a simple model of the interface between visual cognition and noun phrase syntax. Within my model the information corresponding to the noun stem is produced by the classifier and is cardinality blind so carries no number information. The information corresponding to singular or plural number morphology is produced separately by the attentional system. The decomposition of information in my model corresponds to the same decomposition of information in noun phrases. I conclude that cardinality blindness in the visual system can explain this aspect of noun phrase syntax, supporting the general hypothesis that natural language syntax reflects properties of the sensorimotor system and inviting further theories of this nature.
Keyword: cardinality blindness; computational model; linguistics; noun phrase; number; sensorimotor; visual attention; visual classification
URL: http://hdl.handle.net/10523/319
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16
Florian Wolf and Edward Gibson: Coherence in natural language [Rezension]
In: Computational linguistics. - Cambridge, Mass. : MIT Press 33 (2007) 4, 591-595
BLLDB
OLC Linguistik
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17
A multi-speaker dialogue system for computer-aided language learning
Vlugter, Peter [Verfasser]; Knott, Alistair [Verfasser]. - Potsdam : Universität Potsdam, 2006
DNB Subject Category Language
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18
A multi-speaker dialogue system for computer-aided language learning
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19
Anaphora and Discourse Structure
In: Computational Linguistics 29 (2003), 545-587
IDS Konnektoren im Deutschen
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20
Anaphora and Discourse Structure
In: Computational linguistics. - Cambridge, Mass. : MIT Press 29 (2003) 4, 545-588
OLC Linguistik
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