Part-of-Speech Tagging for Azerbaijani Language

被引：0

作者：

Mammadov, Samir ^{[1
]}

Rustamov, Samir ^{[2
]}

Mustafali, Ali ^{[2
]}

Sadigov, Ziyaddin ^{[2
]}

Mollayev, Rasim ^{[2
]}

Mammadov, Zamir ^{[3
]}

机构：

[1] ADA Univ, ASAN Serv, Sch Informat Technol & Engn, Baku, Azerbaijan

[2] ADA Univ, Sch Informat Technol & Engn, Baku, Azerbaijan

[3] Azerbaijan State Pedag Univ, Dept Math, Baku, Azerbaijan

来源：

2018 IEEE 12TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT) | 2018年

关键词：

pos tagging; nip; hmm tagger; Azerbaijani pus tagger; Azerbaijani stemmer;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The paper describes the process of implementing a HMM PoS tagger for Azerbaijani language to tag given text based on the tagged corpus. Different methodologies for part-of speech tagging have been studied, and after analysis of these methodologies, Hidden Markov Model has been chosen for implementation. For Azerbaijani language, the paper demonstrates the steps taken to build a stemmer as an essential part of PoS tagger. A thorough examination of possible word groups and exceptions has been conducted and most of such cases have been successfully handled. As of now, a tagged corpus of large enough size does not exist for Azerbaijani language and it hinders the testing process of HMM tagger. For this reason, a small corpus has been created for testing. However, as HMM shows remarkable performance when run on English corpus, it is expected that it will produce decent results for Azerbaijani language too.

引用

页码：40 / 45

页数：6

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