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1	Distinctive feature fusion for recognition of Australian English consonants
	Trent W. Lewis; David M. W. Powers
	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
	Dongqiang Yang; David M. W. Powers
	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
	David M. W. Powers; German Ai
	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
	Trent W. Lewis; David M. W. Powers
	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
	Trent W. Lewis; David M. W. Powers
	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
	Trent W. Lewis; David M. W. Powers
	In: http://www.infoeng.flinders.edu.au/papers/20030001.pdf (2003)
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7	Lip Feature Extraction Using Red Exclusion
	Trent W. Lewis; David M. W. Powers
	In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf (2001)
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8	Lip Feature Extraction Using Red Exclusion
	Trent W. Lewis; David M. W. Powers
	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
	David M. W. Powers
	In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199703-CoNLL-DG.ps.gz (1997)
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10	System design methodology
	Dongqiang Yang; David M. W. Powers
	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
	Trent W. Lewis; David M. W. Powers
	In: http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
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12	An empirical evaluation
	David M. W. Powers; 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
	Dongqiang Yang; David M. W. Powers
	In: http://acl.ldc.upenn.edu/P/P06/P06-2119.pdf
	Abstract: This paper designs a novel lexical hub to disambiguate word sense, using both syntagmatic and paradigmatic relations of words. It only employs the semantic network of WordNet to calculate word similarity, and the Edinburgh Association Thesaurus (EAT) to transform contextual space for computing syntagmatic and other domain relations with the target word. Without any back-off policy the result on the English lexical sample of SENSEVAL-2 1 shows that lexical cohesion based on edge-counting techniques is a good way of unsupervisedly disambiguating senses. 1
	URL: http://acl.ldc.upenn.edu/P/P06/P06-2119.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.6814
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14	An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
	Dongqiang Yang; David M. W. Powers
	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
	Dongqiang Yang; David M. W. Powers
	In: http://www.alta.asn.au/events/altw2007/cdrom/pdf/ALTA2007_17.pdf
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16	Smoothing, Normalization, Correction and Reduction
	David M. W. Powers
	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
	David Powers Artificial; David M. W. Powers
	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
	David M. W. Powers
	In: http://david.wardpowers.info/Research/AI/papers/200504-drft-Normalization%2BLSI%2BSVD%2BKatz%2BTFIDF.pdf
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19	ROBOT BABIES
	David M. W. Powers
	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?
	David M. W. Powers
	In: http://david.wardpowers.info/Research/AI/papers/200004-inv-RBE.pdf
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