ICGI 2014 is the 12th International Conference on Grammatical Inference, to be held in Kyoto, Japan, from September 17 through September 19, 2014. ICGIs take place biennially. Recent ICGIs were held at Maryland, USA (2012), Valencia, Spain (2010), St.Malo, France (2008), Tokyo, Japan (2006), Athenes, Greece (2004). Kyoto was the imperial capital of Japan and the center of Japanese culture for more than a millennium. Historic Monuments of Ancient Kyoto are registered on the list of UNESCO World Heritage sites. The conference will be held in Kyoto University, which is the second oldest Japanese national university.
The conference seeks to provide a forum for presentation and discussion of original research papers on all aspects of grammatical inference including, but not limited to:
- Different models of grammar induction — e.g., learning from examples, learning using examples and queries, incremental versus non-incremental learning, distribution-free models of learning, learning under various distributional assumptions (e.g., simple distributions), impossibility results, complexity results, characterizations of representational and search biases of grammar induction algorithms.
- Algorithms for induction of different classes of languages and automata: e.g., regular, context-free, and context-sensitive languages, interesting subsets of the above under additional syntactic constraints, tree and graph grammars, picture grammars, multi-dimensional grammars, attributed grammars, parameterized models, etc.
- Theoretical and experimental analysis of different approaches to grammar induction including artificial neural networks, statistical methods, symbolic methods, information-theoretic approaches, minimum description length, and complexity-theoretic approaches, heuristic methods, etc.
- Broader perspectives on grammar induction — e.g., acquisition of grammar in conjunction with language semantics, semantic constraints on grammars, language acquisition by situated agents and robots, acquisition of language constructs that describe objects and events in space and time, developmental and evolutionary constraints on language acquisition, statistical modeling of natural language, etc.
- Demonstrated or potential applications of grammar induction in natural language acquisition, computational biology, structural pattern recognition, information retrieval, text processing, adaptive intelligent agents, systems modeling and control, and other domains.
The conference is supported by The Kyoto University Foundation.