文章基本信息

标题：HMM Based POS Tagger for Hindi
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作者：Nisheeth Joshi ; Hemant Darbari ; Iti Mathur 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2013
卷号：3
期号：6
页码：341-349
DOI：10.5121/csit.2013.3639
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Part of Speech tagging in Indian Languages is still an open problem. We still lack a clear approach in implementing a POS tagger for Indian Languages. In this paper we describe our efforts to build a Hidden Markov Model based Part of Speech Tagger. We have used IL POS tag set for the development of this tagger. We have achieved the accuracy of 92%.
关键词：Hidden Markov Model; POS Tagging; Hindi; IL POS Tag set