Earticle

초록

영어

With the development and revolution of economic globalization, cross-language communication is becoming more and more important. The traditional artificial Chinese and English intelligent automatic translation system is not able to satisfy the growing need for translation. On this basis, through deeply analyzing the deficiencies of current traditional automatic translation system, this paper proposes the use of integration technology to build Chinese and English intelligent automatic translation system. First we build a confusion network for integration technology, then by using the log linear model for parameter modulation and decoding of confusion network to obtain better accuracy and better performance of the translation results. Based on the algorithm, this paper constructs experiment for the integration technology in Chinese and English intelligent automatic translation system. Experimental results show that the English and Chinese intelligent automatic translation system based on Integration Technology is capable of obtaining higher precision and better robustness of translation results, with great practical significance.

목차

Abstract
 1. Introduction
 2. Confusion Network Based Log-Linear Model Machine Translation Method
  2.1. Traditional MBR Integration Technology
  2.2. Integration Technology Based on Confusion Network
 3. Chinese and English Machine Translation System Based on Confusion Network
  3.1. System Construction
  3.2. Experimental Results and Analysis
 4. Conclusion
 References

키워드

저자

• Ruijuan Hu [ Henan Institute of Education ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605