Earticle

초록

영어

This paper presents a novel approach to recognize person name in Uyghur corpus. The Recognition of a person name for Uyghur using Naive Bayes Classifier is a challenging task in intelligent computing. Uyghur person name recognition (UPNR) aims at classifying each word in a document into predefined target label (person name or others) in a linear and non-linear fashion. Some language specific rules are added to recognize person names. Moreover, some gazetteers and context patterns are added to increase its performance as it is observed that identification of rules and context patterns requires language-based knowledge to make the work better. We have used required lexical databases to prepare rules and identify the context patterns for Uyghur. Experimental results show that our approach achieves higher accuracy than previous approaches.

목차

Abstract
 1. Introduction
 2. The Uyghur Text Corpus
 3. Naïve Bayes Classifier
 4. Training Data
  4.1. Features
  4.2. Suffix and Prefix
  4.3. Stem of Word
  4.4. The Algorithm
 5. Experimental Results and Evaluations
 6. Conclusions
 References

키워드

저자

• Abdurahim Mahmoud [ Institute of Information Science and Engineering, Xinjiang University, China ]
• Tashpolat Nizamidin [ Institute of Information Science and Engineering, Xinjiang University, China ]
• Peride Tursun [ School of Graduate, Xinjiang University, Urumqi, China ]
• Askar Hamdulla [ School of Graduate, Xinjiang University, Urumqi, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605