Part-of-speech tagging using genetic algorithms

To the best of our knowledge genetic algorithms have never been used for prediction of POS tags for Punjabi Language. In this paper, A classic Genetic Algorithm (GA) with fixed gene length is proposed for sentence-level Punjabi language tagging. It uses fixed individual size, value type encoding, Roulette wheel selection, adaptive - two point crossover (TPC) and varying mutation rate as operators in proposed work. Focusing on the relationship of tags according to context, we are proposing this technique in form of a software prototype and an algorithm. A dataset of 26,000 hand tagged words is used for proposed work and 90.63% accuracy is achieved. © 2015, UK Simulation Society. All rights reserved.