A FARSI PART-OF-SPEECH TAGGER BASED on MARKOV MODEL

被引：0

作者：

Mohseni, Mahdi ^{[1
]}

Motalebi, Hasan ^{[1
]}

Minaei-bidgoli, Behrouz ^{[1
]}

Shokrollahi-far, Mahmoud ^{[2
]}

机构：

[1] Iran Univ Sci & Technol, Tehran, Iran

[2] Univ Coll Nabi Akram, Tabriz, Iran

来源：

APPLIED COMPUTING 2008, VOLS 1-3 | 2008年

关键词：

Part-Of-Speech Tagging; Tagset; Farsi Language; Markov Model;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper describes applying a Part-Of-Speech (POS) tagging system on an unreported Farsi corpus by using a Markov model. Some aspects of Farsi morphology and some issues in developing a tagging system are offered. By simulation we evaluate this method on the corpus. To our knowledge, this is first time that a statistical POS tagger is applied on a Farsi corpus.

引用

页码：1588 / +

页数：2

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