Guided Grammar Convergence

The Effects of Guided and Unguided Semantic Mapping on Iranian EFL Learners’ Vocabulary and Grammar Knowledge

Guided Grammar Convergence: Full Case Study Report

Introduction This report is meant to be used as auxiliary material for the guided grammar convergence technique proposed in [18] as problem-specific improvement on [12]. It contains a megamodel renarrated as proposed in [19], as well as full results of the guided grammar convergence experiment on the Factorial Language, with details about each grammar source packaged in a readable form. All for...

A Framework For Tree-Adjunct Grammar Guided Genetic Programming

In this paper we propose the framework for a grammar-guided genetic programming system called Tree-Adjunct Grammar Guided Genetic Programming (TAGGGP). Some intuitively promising aspects of the model compared with other grammar-guided evolutionary methods are also highlighted. 1 Introduction Genetic programming (GP) is considered to be a machine learning method, which induces a population of co...

Grammar-Guided Genetic Programming

INTRODUCTION Evolutionary computation (EC) is the study of computational systems that borrow ideas from and are inspired by natural evolution and adaptation (Yao & Xu, 2006, pp. 1-18). EC covers a number of techniques based on evolutionary processes and natural selection: evolutionary strategies, genetic algorithms and genetic programming (Keedwell & Narayanan, 2005). Evolutionary strategies ar...

Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming

Tree-adjunct grammar guided genetic programming (TAG3P) [5] is a grammar guided genetic programming system that uses context-free grammars along with tree-adjunct grammars as means to set language bias for the genetic programming system. In this paper, we show the experimental results of TAG3P on two problems: symbolic regression and trigonometric identity discovery. The results show that TAG3P...