Earticle

초록

영어

Stemming is a very important natural language processing task that to remove all inflectional affixes from a word, and to lemmatize the remaining part of the word. It is very important in most of the Information Retrieval systems. In this paper we have introduced different stemming algorithms that commonly used in English and other English-Like European languages, and also introduced methods used in Chinese word segmentation, finally we have carried out a more detailed discussions about the methods for Uyghur stemming.

목차

Abstract
 1. Introduction
 2. Stemming Algorithms Used in English and Other English like European Languages
  2.1. Rule based Method
  2.2. Dictionary Look-Up (Table Lookup) Method
  2.3. Statistical Methods
  2.4. Mixed Method
 3. Chinese Word Segmentation
  3.1. Classification of Chinese Word Segmentation Algorithms
  3.2. Chinese Word Segmentation Systems
 4. Uyghur Stemming
  4.1. Features of Uyghur Word
  4.2. A Review of Uyghur Stemming Research
  4.3. The Existing Problems in Uyghur Stemming
 5. Conclusions
 References

키워드

저자

• Abdurahim Mahmoud [ Institute of Information Science and Engineering, Xinjiang University, China ]
• Abdusalam Dawu [ School of Software, Xinjiang University, Urumqi, China ]
• Peride Tursun [ School of Software, Xinjiang University, Urumqi, China ]
• Askar Hamdulla [ Institute of Information Science and Engineering, Xinjiang University, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605