Abstract
The research into the ability of building
self-learning natural language parser based on
context--free grammar (CFG ) was presented. The paper
investigates the use of evolutionary methods: a genetic
algorithm, a genetic programming and learning
classifier systems for inferring CFG based parser. The
experiments were conducted on the real set of natural
language sentences. The gained results confirm the
feasibility of applying evolutionary algorithms for
context-free grammatical inference.
Users
Please
log in to take part in the discussion (add own reviews or comments).