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  • 标题:Rule Based Approach for Machine Translation System for Related Languages: Punjabi to Hindi
  • 本地全文:下载
  • 作者:Sumita Rani ; Dr. Vijay Laxmi
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:60-62
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Machine Translation is one of the important area in natural language processing. Machine Translation is a great challenge for closely related language pair. Machine Translation system for more or fewer related languages is based upon the similarities such as syntactic and vocabulary. Punjabi and Hindi both are originated from the same parent language so both are closely related and having lot of syntactic and semantic similarities. In this paper, for developing Punjabi to Hindi Machine Translation system, we look at the possibility of using Rule Based Approach. The system involves Punjabi as source language and Hindi as target language.
  • 关键词:Machine Translation;Rule Based Approach;Word Sense Disam biguation;Transliteration.
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