원문정보
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
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