期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2016
卷号：8
期号：5
页码：61
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The main goal of this work is the implementation of a new tool for the Amazigh part of speech taggingusing Markov Models and decision trees.After studying different approaches and problems of part of speech tagging, we have implemented atagging system based on TreeTagger - a generic stochastic tagging tool, very popular for its efficiency.We have gathered a working corpus, large enough to ensure a general linguistic coverage. This corpus hasbeen used to run the tokenization process, as well as to train TreeTagger. Then, we performed astraightforward outputs’ evaluation on a small test corpus. Though restricted, this evaluation showedreally encouraging results.
