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Tonkes, B. (1998) Getting the Point Across: The Effect of Recurrent Network Biases on the Evolution of a Simple Language. Technical report.

References (may not be complete)  [Original format]  [Sort by year]  [Sort by author]  [Sort by citations]

1997 -The synthetic modeling of language origins - Steels :: 123
1998 -Computational simulations of the emergence of grammar - Batali :: 99
2000 -Syntax without Natural Selection: How compositionality emerges from vocabulary in a population of learners - Kirby :: 81
1998 -The emergence of a language in an evolving population of neural networks - Cangelosi,Parisi :: 64
1997 -Learning and the emergence of coordinated communication - Oliphant,Batali :: 61
1998 -The origins of syntax in visually grounded robotic agents - Steels :: 56
1990 -Finding structure in time - Elman :: 49
1999 -The learning barrier: Moving from innate to learned systems of communication - Oliphant :: 42
1995 -Learning and morphological change - Hare,Elman :: 41
1998 -Fitness and the selective adaptation of language - Kirby :: 33
1993 -Learning and development in neural networks: The importance of starting small - Elman :: 33
1991 -Distributed representations, simple recurrent networks, and grammatical structure - Elman :: 18
1998 -An investigation into the evolution of communication - Di~Paolo :: 18
1999 -Toward a connectionist model of recursion in human linguistic performance - Christiansen,Chater :: 14
1992 -A PDP approach to processing centerembedded sentences - Weckerly,Elman :: 7
1989 -A learning algorithm for continually running fully recurrent neural networks - Williams,Zipser :: 4
1959 -On certain formal properties of grammars - Chomsky :: 3
1995 -Mind as Motion: Explorations in the Dynamics of Cognition - Port,van Gelder :: 3
1987 -On connectionist models of natural language processing - Pollack :: 3
1998 -Dynamical recognizers: Real-time language recognition by analog computers - Moore :: 3
1998 -Natural language grammatical inference with recurrent neural networks - Lawrence,Giles,Fong :: 3

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