Genetic approach for arabic part of speech tagging
Computation and Language
2013-07-15 v1 Neural and Evolutionary Computing
Abstract
With the growing number of textual resources available, the ability to understand them becomes critical. An essential first step in understanding these sources is the ability to identify the part of speech in each sentence. Arabic is a morphologically rich language, wich presents a challenge for part of speech tagging. In this paper, our goal is to propose, improve and implement a part of speech tagger based on a genetic alorithm. The accuracy obtained with this method is comparable to that of other probabilistic approaches.
Keywords
Cite
@article{arxiv.1307.3489,
title = {Genetic approach for arabic part of speech tagging},
author = {Bilel Ben Ali and Fethi Jarray},
journal= {arXiv preprint arXiv:1307.3489},
year = {2013}
}
Comments
12 pages, 8 figures