DocumentCode
3453143
Title
Cooperation of evolutionary and statistical PoS-tagging
Author
Forsati, Rana ; Shamsfard, Mehrnoush
Author_Institution
NLP Res. Lab., Shahid Beheshti Univ., Tehran, Iran
fYear
2012
fDate
2-3 May 2012
Firstpage
446
Lastpage
451
Abstract
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.
Keywords
evolutionary computation; natural language processing; optimisation; BCO; NLP; bee colony optimization; evolutionary PoS-tagging; evolutionary-based part-of-speech-tagging approaches; natural language processing; statistical PoS-tagging; tested classical part-of-speech-tagging approaches; Accuracy; Algorithm design and analysis; Context; Natural language processing; Optimization; Signal processing algorithms; Tagging; bee colony optimization; natural language processing; part of speech tagging;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
Conference_Location
Shiraz, Fars
Print_ISBN
978-1-4673-1478-7
Type
conf
DOI
10.1109/AISP.2012.6313789
Filename
6313789
Link To Document