Earticle

초록

영어

More than hundreds of millions of people of almost all levels of education and attitudes from different country communicate with each other for different purposes using various languages. Machine translation is highly demanding due to increasing the usage of web based Communication. One of the major problem of Bengali translation is identified a naming word from a sentence, which is relatively simple in English language, because such entities start with a capital letter. In Bangla we do not have concept of small or capital letters and there is huge no. of different naming entity available in Bangla. Thus we find difficulties in understanding whether a word is a naming word or not. Here we have introduced a new approach to identify naming word from a Bengali sentence for machine translation system without storing huge no. of naming entity in word dictionary. The goal is to make possible Bangla sentence conversion with minimal storing word in dictionary.

목차

Abstract
 1. Introduction
 2. Problem Domain
 3. Machine Translation and Universal Networking Language
 4. UNL En-Converter
  4.1. Temporary Entries
 5. Automatically Naming Word Identification Approach
  5.1. Naming Word Detection Approach
  5.2. Function of Post Converter
  5.3. Proposed En-conversion Process
 6. Result Analysis
  6.1. Example:
 7. Conclusion
 References

키워드

저자

• Md. Syeful Islam [ Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh, Phone: +8801916574623 ]
• Dr. Jugal Krishna Das [ Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka-1342, Bangladesh, Phone: +8801712509082 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605