Mike Dowman, Jing Xu and Thomas L. Griffiths (2008). A Human Model of Colour Term Evolution. In The Evolution of Language. Hackensack, NJ: World Scientific, Talk to be given at EVOLANG7, Barcelona, Spain, 11-15 March 2008.

Mike Dowman (to appear). Is Writing Generative Grammars Impossible? Yet to be submitted.

Mike Dowman (2008). How Complex Syntax Could Be. In The Evolution of Language. Hackensack, NJ: World Scientific, Poster to be given at EVOLANG7, Barcelona, Spain, 11-15 March 2008.

Mike Dowman (2007). Doushite tougoron ha fukanou de aru no ka (in Japanese). Unpublished essay.

Mike Dowman (2007). Why Syntax is Impossible. Talk given at Evolution and Syntax Workshop, National Institute of Informatics, Tokyo, 20-21 August.

Mike Dowman (2007). Super Nature and Nurture Too - the Possibility that Linguistics Forgot. Talk given at Complex Systems Mini Workshop, Iwai, Chiba, Japan, 23-26 August.

Simon Kirby, Mike Dowman and Thomas L. Griffiths (2007). Innateness and Culture in the Evolution of Language. Proceedings of the National Academy of Sciences (PNAS), 104(12): 5241-5245

Mike Dowman (2006). How Evolution, Culture and Learning Interact to Make Language. Talk given at Evolution and Syntax Workshop, National Institute of Informatics, Tokyo, 27-28 December.

Mike Dowman (2005). Exploring Lexical Complexity and Language Coherence with an Iterated Learning Model. PDF. PS. Poster to be presented at the 27th Annual Meeting of the Cognitive Science Society, July 21-23, Stresa, Italy. Abstract published in B. G. Bara, L. Barsalou and M. Bucciarelli (Eds.), Proceedings of the XXVII Annual Conference of the Cognitive Science Society. Mahwah, New Jersey: Lawrence Erlbaum Associates, page 2473. PDF of abstract.

Mike Dowman, Simon Kirby and Thomas L. Griffiths (2006). Innateness and Culture in the Evolution of Language. In A. Cangelosi, A. D. M. Smith and K. Smith (Eds.) The Evolution of Language. Hackensack, NJ: World Scientific, pp83-90. Talk to be given at EVOLANG6, Rome, Italy, 12-15 April.

Mike Dowman (under review). Minimum Description Length as a Solution to the Problem of Generalization in Syntactic Theory.

Mike Dowman (2007). Using Minimum Description Length to make Grammatical Generalizations. Talk given at Machine Learning and Cognitive Science of Language Acquisition, London, June 21-22.

Mike Dowman (2007). Using MDL to Make Syntactic Generalizations. Talk given at Complex Systems and Artificial Life Lab, University of Tokyo, June 7.

Mike Dowman (2000) Addressing the Learnability of Verb Subcategorizations with Bayesian Inference. In Gleitman, L. R. & Joshi, A. K. (Eds.) Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society. Mahwah, New Jersey, USA: Lawrence Erlbaum Associates. Postscript, PDF, HTML.

Mike Dowman (2000) A Bayesian Model of Syntactic Acquisition. Talk given at Australian Linguistics Society Conference, Melbourne, July 7-9, 2000.

Mike Dowman (2005). Minimum Description Length: An Adequate Syntactic Theory? Talk given at Language Evolution and Computation Research Unit, Department of Theoretical and Applied Linguistics, University of Edinburgh, 3 June.

Mike Dowman (2000) Learning Verb Subcategorizations - A Case Study for the Acquisition of Syntax. Departmental Seminar, 3rd March, 2000, Department of Linguistics, University of Sydney.

Mike Dowman & Jon Patrick (1999) A Minimum Encoding Inference Approach to Theoretical Syntax. Talk given at Australian Machine Learning Workshop, November 22-23, 1999, Australian National University, Canberra.

Mike Dowman (1999) Syntax: Accounting for Acquisition and Change. Talk given at Postgraduate Students' Conference, 23rd September, 1999, Department of Linguistics, University of Sydney.

Mike Dowman (1998) A Cross-linguistic Computational Investigation of the Learnability of Syntactic, Morpho-syntactic, and Phonological Structure. Research Report, Centre for Cognitive Science, University of Edinburgh. Postscript, PDF.

Mike Dowman (in press). The Nature of Words in Human Protolanguages: It's not a Holophrastic-Atomic Meanings Dichotomy. Accepted for publication in Artifical Life

Mike Dowman (2008). The Multiple Stages of Protolanguage. In The Evolution of Language. Hackensack, NJ: World Scientific, Talk to be given at EVOLANG7, Barcelona, Spain, 11-15 March 2008.

Mike Dowman (2007). Protolanguages that are Semi-Holophrastic. In Proceedings of 9th European Conference on Artificial Life (ECAL), September 10-14, Lisbon, Portugal

Mike Dowman (2007). Protolanguage: Between Holophrastic and Atomic Meanings. Talk given at Language Evolution and Computation Reserach Unit, University of Edinburgh, January 23.

Mike Dowman (2007). First Stages in the Evolution of Human Language. In Proceedings of the Japanese Society for Language Sciences' Ninth Annual International Conference (JSLS2007), Sendai, Japan, July 7-8.

Mike Dowman and Takashi Ikegami (2007). Modeling the Evolution of Protolanguages. Poster presentation at Japan Physics Society Conference, Sapporo, Hokkaido, Japan, September 21-24.

Mike Dowman (2006). The Nature of Words in Human Protolanguages. Talk Given at Complex Systems and Artificial Life Lab, University of Tokyo, 16 November.

Mike Dowman (2007). Explaining Color Term Typology with an Evolutionary Model. Cognitive Science, 31(1): 99-132.

Mike Dowman (2007). Modelling Colour Term Evolution. Talk given at Seminar on Language Evolution and the Brain (SLEB), Kyoto, Japan, April 23-27.

Mike Dowman (not published). Evolution of Basic Colour Terms

Mike Dowman (2003). Explaining Color Term Typology as the Product of Cultural Evolution using a Bayesian Multi-agent Model. In R. Alterman and D. Kirsh (Eds.) Proceedings of the 25th Annual Meeting of the Cognitive Science Society. Mahwah, N.J.: Lawrence Erlbaum Associates. Talk given at conference, July 31-August 2, Boston, MA, USA. PDF. Slides.

Mike Dowman (2003). Modeling Language as a Product of Learning and Social Interactions. Cognitive Systems, Volume 6, issue 1, 41-54. Word.

Mike Dowman (2005). Investigating the Effect of Random Noise on the Evolution of Colour Terms. In Proceedings of IEEE Congress on Evolutionary Computation. Piscataway, NJ: IEEE. (Presented in the Special Session on Artificial Life). Word Version. Slides.

Mike Dowman (2002) Modelling the Acquisition of Colour Words. In B. McKay and J. Slaney (eds.) Advances in Artificial Intelligence. Berlin: Springer-Verlag. Part of the Lecture Notes in Artificial Intelligence Series. (C) Springer-Verlag. N.B. This version is in a different format and a bit longer than the published version.

Mike Dowman (2004). Colour Terms, Syntax and Bayes: Modelling Acquisition and Evolution. PhD Thesis, University of Sydney. PDF, Word. Submitted, August 2003. Accepted with minor emendations February, 2004. Thesis appendices.

Mike Dowman (2005). Explaining Colour Term Typology with an Evolutionary Model. Linguistics Circle talk given at Linguistics and English Language Department, University of Edinburgh, 24 November, 2005.

Mike Dowman (2005). Colour Words, Bayes and Language Complexity. Talk given at Language Evolution and Computation Research Unit, Department of Theoretical and Applied Linguistics, University of Edinburgh, 27 May.

Mike Dowman (2002) A Bayesian Model of Colour Term Acquisition and Typology. Talk given at Australian Linguistics Society Conference, July 13-14, Macquarie University, Sydney.

Mike Dowman (2002) Modeling the Evolution of Basic Colour Terms. Talk given at Language in Time: Language Evolution and Change. June 24-27, UWA, Perth.

Mike Dowman (2002) Bayesian Learning of Linguistic Categories. Talk given at European Society for the Study of Cognitive Systems Special Workshop on Multidisciplinary Aspects of Learning Paris, 17-19 January 2002.

Mike Dowman (2002) Explaining Language Typology using a Multiple Agent Model, talk given at Department of Computer Science and Software Engineering, University of Western Australia, 28 June 2002.

Mike Dowman (2001) A Bayesian Approach to Colour Term Semantics. Lingu@scene, Volume 1. PDF.

Mike Dowman (2001) A Bayesian Approach to Colour Term Semantics. Technical Report Number 528. Sydney: Basser Department of Computer Science, University of Sydney. PDF. (This is a more technical version of the lingu@scene paper.)

M. Dowman, V. Tablan, H. Cunningham, C. Ursu and B. Popov. Semantically Enhanced Television News through Web and Video Integration. In proceedings of Multimedia and the Semantic Web, a Second European Semantic Web Conference (ESWC'05) workshop, Crete, Greece, 2005. PDF

M. Dowman, V. Tablan, H. Cunningham and B. Popov. (2005) Web-Assisted Annotation, Semantic Indexing and Search of Television and Radio News. Talk given at 14th International World Wide Web Conference. Chiba, Japan, 10-14 May. Published in proceedings, pages 225-234. PDF.

M. Dowman, V. Tablan, H. Cunningham and B. Popov. Content Augmentation for Mixed-Mode News Broadcasts. 3rd European Conference on Interactive Television: User Centred ITV Systems, Programmes and Applications. Aalborg University, Denmark, 2005. PDF

Hamish Cunningham, Diana Maynard, Kalina Bontcheva, Valentin Tablan, Cristian Ursu, Marin Dimitrov, Mike Dowman, Niraj Aswani, Ian Roberts (2005). Developing Language Processing Components with GATE Version 3 (a User Guide). Available online. This is the main documentation for the GATE NLP system, and is continually updated.

Mike Dowman (2000) Unsupervised Learning of Probabilistic Automata for Language Modelling. Talk given as part of the, Symposium on Computational Inteligence at Inteligent Systems and Applications, University of Wollongong, Australia. Published in Proceedings of Inteligent Systems and Applications 2000. Wetaskiwin, Alberta, Canada: ICSC Academic Press.

Mike Dowman, Virginia Savova, Thomas L. Griffiths, Konrad P. K�rding, Joshua B. Tenenbaum, Matthew Purver (under review) A Hierarchical Bayesian Model of Meetings that Combines Words and Discourse Features