Earticle

초록

영어

Uyghur is one of the most populous and civilized groups with Turkic ethnicity and mainly located Xinjiang Uyghur Autonomous Region of China. Uyghur language belongs to the Karluk branch of the Turkic language family in Altaic language system, and holds agglutinative characteristics in morphological structure. Named Entity Recognition (NER) is an Information Extraction task that has become an essential part of Natural Language Processing (NLP) tasks, such as Machine Translation and Information Retrieval. In this paper, as a subtask of NER, the importance of Uyghur Named Entity Recognition (UPNR) task is demonstrated, the main characteristics of the Uyghur language are highlighted, and the aspects of standardization in annotating named entities are illustrated. Moreover, the approaches used in Uyghur NPNR field are explained and the features of common tools used in Uyghur NPNR are described. A brief review of the state of the art of Uyghur NPNR research is discussed, too. Finally, we present our conclusions. Throughout the presentation, illustrative examples are used for clarification.

목차

Abstract
 1. Introduction
 2. Observations: 2011-2015
 3. Learning Methods
  3.1. Supervised Learning
  3.2. Semi Supervised Learning
  3.3. Un-Supervised Learning
 4. Linguistic Issues and Challenges
  4.1. Lack of Capitalization
  4.2. Agglutination
  4.3. Ambiguity
  4.4. Lack of uniformity writing style
  4.5. Lack of Resources
  4.6. Person Name Recognition Tag Set
 5. Recommendations
 6. Conclusions
 Acknowledgments
 References

키워드

저자

• Tashpolat Nizamidin [ Institute of Information Science and Engineering, Xinjiang University, China ]
• Palidan Tuerxun [ School of Software, Xinjiang University, Urumqi, China ]
• Askar Hamdulla [ School of Software, Xinjiang University, Urumqi, China ] Corresponding Author
• Muhtar Arkin [ College of Information Science and Engineering, Urumqi Vocational University, Urumqi, Xinjiang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605