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An Introduction to GRAEL - Grammars and Evolution. Edition No. 1
VDM Publishing House, June 2009, Pages: 488
This book investigates memory-based syntactic parsing
of natural language, using an agent-based,
evolutionary computing approach. The proposed
technique, dubbed GRAEL (GRAmmar EvoLution), offers a
general purpose method for processing syntactically
annotated corpora of natural language. It attempts to
improve grammars by grounding the evolutionary
optimization of syntactic structures in agent-based
communication attempts. Using the same architecture,
but different information sources, GRAEL can be shown
to successfully handle a diverse range of grammar
engineering tasks, such as grammar optimization
(redistributing the probability mass of a
corpus-induced grammar) and grammar rule discovery
(automatically adding useful new rules to an existing
grammar). This book also describes how GRAEL can be
used to induce grammars for natural language from
scratch (grammar induction) and offers insights
into the origins of syntactic patterns in human language.
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