Assamese WordNet based Quality Enhancement of Bilingual Machine Translation System

被引：0
|
作者：
Barman, Anup Kumar [1 ]
Sarmah, Jumi [1 ]
Sarma, Shikhar Kumar [1 ]
机构：
[1] Gauhati Univ, Dept IT, Gauhati, India
来源：
PROCEEDINGS OF THE SEVENTH GLOBAL WORDNET CONFERENCE, GWC 2014 | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Machine Translation is a task to translate the text from a source language to a target language in an automatic manner. Here, we describe a system that translate the English language to Assamese language text which is based on Phrase based statistical translation technique. To overcome the translation problem related with highly open word class like Proper Noun or the Out Of Vocabulary words we develop a transliteration system which is also embedded with our translation system. We enhance the translation output by replacing words with their most appropriate synonymous word for that particular context with the help of Assamese Word-Net Synset. This Machine Translation system outcomes with a reasonable translation output when analyzed by linguist for Assamese language which is a less computationally aware language among the Indian languages.
引用
收藏
页码：256 / 261
页数：6
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