Earticle

초록

영어

Automatic proofreading of judgment document can effectively overcome human factors and ensure the quality of proofreading. The outstanding work in this paper includes following two aspects: The first aspect is to proofread the mistakes of legal file name and legal provision reference by establishing the proofreading knowledge base of judgment document. The second aspect is to maximizing identify legal terminology and common name entities, then proofread the collocation mistakes between words, phrases and legalese by using Markov Model. The experiment results show that this method can basically meet the needs of the judgment documents proofreading.

목차

Abstract
 1. Introduction
 2. Error Types Analysis of Judgment Document and Our Working Idea
 3. Error Proofreading for Legal Documents and Legal Provisions
  3.1. Legal Document Reference Error Proofreading
  3.2. Legal Provisions Reference Error Proofreading
 4. Identification of Legal Terminologies and Proofreading of Collocation Error
  4.1. Identification of Legal Terminologies based on CRF Model
  4.2. Collocation Error Proofreading based on Markov Chain Model
 5. Experiment
  5.1. Experimental Data Sets
  5.2. Experimental Result Analysis
 6. Conclusion 
 Acknowledgements
 References

키워드

저자

• XU Yabin [ Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science &Technology University, Beijing 100101, China, Institute of Computer, Beijing Information Science &Technology University, Beijing 100101, China ]
• Ji Xuan [ Institute of Computer, Beijing Information Science &Technology University, Beijing 100101, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605