Cooperation of evolutionary and statistical PoS-tagging

Part-of-Speech tagging which refers to assignment of syntactic categories to words is a fundamental task in Natural Language Processing (NLP). This paper presents a novel algorithm based on Bee Colony Optimization (BCO) for POS tagging. Experimental results indicate that the proposed algorithm outperforms the other evolutionary-based and tested classical Part-of-Speech -tagging approaches in terms of average accuracy.