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1
Distinctive feature fusion for recognition of Australian English consonants
In: http://dl.dropboxusercontent.com/u/27743223/200809-Interspeech2008-DistinctiveFeatureFusion.pdf (2008)
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2
D.M.W.: Verb similarity on the taxonomy of WordNet
In: http://david.wardpowers.info/Research/AI/papers/200601-GWC-VerbSimWN.pdf (2006)
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3
A Basis for Compact Distributional Extraction Abstract
In: http://members.dodo.com.au/~powers/Research/AI/papers/199208-THINK-CDE.pdf (2003)
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4
Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV4Lewis.pdf (2003)
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5
AudioVisual Speech Recognition using Red Exclusion and Neural Networks
In: http://ws.acs.org.au/jrpit/JRPIT35.1.41.pdf (2003)
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6
Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
In: http://www.infoeng.flinders.edu.au/papers/20030001.pdf (2003)
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7
Lip Feature Extraction Using Red Exclusion
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf (2001)
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8
Lip Feature Extraction Using Red Exclusion
In: http://www.cs.flinders.edu.au/Research/AI/papers/200001-VIP-AVSR.pdf (2001)
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9
Learning and Application of Differential Grammars
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199703-CoNLL-DG.ps.gz (1997)
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10
System design methodology
In: http://david.wardpowers.info/Research/AI/papers/200603-ACL%2BCoLing-WordSimWN.pdf (1995)
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11
A Multifaceted Investigation into Speech Reading
In: http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
Abstract: Speech reading is the act of speech perception using both acoustic and visual information. This is something we all do as humans and can be utilised by machines to improve traditional speech recognition systems. We have been following a line of research that started with a simple audio-visual speech recognition system to what is now a multifaceted investigation into speech reading. This paper overviews our feature extraction technique, red exclusion, and its analysis using neural networks and then looks at several neural network integration architectures for speech reading.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.6633
http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
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12
An empirical evaluation
In: http://www.infoeng.flinders.edu.au/papers/19970003.pdf
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13
Word Sense Disambiguation using lexical cohesion in the context
In: http://acl.ldc.upenn.edu/P/P06/P06-2119.pdf
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14
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
In: http://dl.dropboxusercontent.com/u/27743223/200713-ALTW-DistributionalSimilarity.pdf
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15
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
In: http://www.alta.asn.au/events/altw2007/cdrom/pdf/ALTA2007_17.pdf
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16
Smoothing, Normalization, Correction and Reduction
In: http://dl.dropboxusercontent.com/u/27743223/200504-drft-Normalization+LSI+SVD+Katz+TFIDF.pdf
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17
What Unsupervised Learning Tells Us About Language Models
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199606-TASL-WULTAL.ps.gz
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18
Smoothing, Normalization, Correction and Reduction
In: http://david.wardpowers.info/Research/AI/papers/200504-drft-Normalization%2BLSI%2BSVD%2BKatz%2BTFIDF.pdf
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19
ROBOT BABIES
In: http://david.wardpowers.info/Research/AI/papers/200106-inv-RBE.pdf
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20
Robot babies: what can they teach us about language acquisition?
In: http://david.wardpowers.info/Research/AI/papers/200004-inv-RBE.pdf
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