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Data-Driven GRAEL: a distributed, evolutionary computing approach to grammar induction and optimization  (Make Corrections)  
Guy De Pauw, Walter Daelemans



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Abstract: This paper gives an overview of the datadriven experiments, in which large, annotated natural language corpora are used to bootstrap the interaction between the agents. These experiments focus on the grammar optimization task, but also provide a promising foundation for grammar induction rather than grammar optimization. Syntax and Evolutionary Computing (Update)

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BibTeX entry:   (Update)

@misc{ pauw-datadriven,
  author = "Guy De Pauw and Walter Daelemans",
  title = "Data-Driven {GRAEL}: a distributed, evolutionary computing approach to grammar
    induction and optimization",
  url = "citeseer.ist.psu.edu/418150.html" }
Citations (may not include all citations):
40   Computational simulations of the emergence of grammar (context) - John - 1998
27   Context free grammar induction using genetic algorithms (context) - Wyard - 1991
15   Learning syntactic rules and tags with genetic algorithms fo.. - Losee - 1995
9   Syntax out of learning: the cultural evolution of structured.. - Kirby
5   Learning language using genetic algorithms - Smith, Witten - 1996
4   A grammar-based genetic algorithm (context) - Antonisse - 1991
3   Aspects of pattern-matching in dop (context) - Guy
2   Gag genetic algorithms for grammar (context) - Blasband - 1998
1   Beyond Grammar: An ExperienceBased Theory of Language (context) - report, Bod - 1998
1   Probabilistische Parsers - Contextgevoeligheid en pattern-ma.. (context) - Guy
1   The origins of syntax in visually grounded robotic agents (context) - Verlag, pages et al. - 1998

Documents on the same site (http://pcger33.uia.ac.be/guy/):
Aspects of Pattern-matching in Data-Oriented Parsing - De Pauw   (Correct)

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