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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 27 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) BASE Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 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) BASE Show details 9 Learning a lexicalized grammar for German [Online resource] Sandra Kübler In: http://jones.ling.indiana.edu/~skuebler/papers/aussi.ps ; (in:) Proceedings of NeMLaP 3/CoNLL98. New Methods in Language Processing and Computational Natural Language Learning - Australia, 1998, S. 11-18 (1998) Linguistik-Repository Show details 10 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) BASE Show details 11 System design methodology Dongqiang Yang; David M. W. Powers In: http://david.wardpowers.info/Research/AI/papers/200603-ACL%2BCoLing-WordSimWN.pdf (1995) BASE Show details 12 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 BASE Show details 13 An empirical evaluation David M. W. Powers; An Empirical Evaluation In: http://www.infoeng.flinders.edu.au/papers/19970003.pdf BASE Show details 14 Comparative, Continuity and Computational Evidence in Evolutionary Theory: Predictive Evidence versus Productive Evidence David M W Powers In: http://dl.dropboxusercontent.com/u/27743223/200604-BBS-CCCEvidencePredictiveProductive.pdf Abstract: Of three types of evidence available to evolution theorists: comparative, continuity and computational, the first is largely productive rather than predictive. Although comparison between extant species or languages is possible and can be suggestive of evolutionary processes, leading to theory development, comparison with extinct species and languages seems necessary for validation. Continuity and computational evidence provide the best opportunities for supporting predictions. 1000 Word TEXT Locke and Bogin [LB] tell two kinds of story, the first seeking to demonstrate that Homo sapiens is unique in having a childhood and that this is critical to the nature of human language, the second seeking to explain how evolutionary pressures may have given rise to these phenomena – and these are intimately intertwined in the target article, with many evolutionary hypotheses being stated baldly as facts. Nonetheless LB are correct to emphasize the role of ontogeny and provide a useful review of developmental evidence. Computational models of self-organization show that significant visual, auditory and linguistic features can self-organize with minimal input, whilst detailed ontogenesis without self-organizational would seem to exceed the capacity of the genome suggesting a composite model is required (Willshaw & vd Malsburg, 1979). The perinatal and infancy period is certainly critical but LB neglect the former. Since the 80s we have known that infants, even in utero, can discriminate auditory information, can distinguish one language from another, can distinguish one speaker of a language from another, or even small phonemic changes in a single syllable (Mehler et al., 1992). Indeed neonates as much as 10 weeks premature can distinguish low frequency tones and show auditory cortical event related potentials (Kurtzberg et al URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.599.9761 http://dl.dropboxusercontent.com/u/27743223/200604-BBS-CCCEvidencePredictiveProductive.pdf BASE Hide details 15 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 BASE Show details 16 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 BASE Show details 17 Evaluation Evaluation David M W Powers In: http://dl.dropboxusercontent.com/u/27743223/200807-ECAI-Evaluation_Evaluation-Short.pdf BASE Show details 18 Biologically-Motivated Machine Learning of Natural Language and Ontology A Computational Cognitive Model David M W Powers In: http://david.wardpowers.info/Research/AI/papers/200502-MMUI-BioMotMLNLO.pdf BASE Show details 19 Minors as Miners Modelling and Evaluating Ontological and Linguistic Learning David M W Powers In: http://crpit.com/confpapers/CRPITV87Powers.pdf BASE Show details 20 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 BASE Show details Page: 1 2

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