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  • 标题:Particle Swarm Optimization in Transliteration
  • 本地全文:下载
  • 作者:Dr. Pothula Sujatha
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2012
  • 卷号:3
  • 期号:5
  • 出版社:Seventh Sense Research Group
  • 摘要:— Transliteration is the process of transforming a word written in a source language into a word in a target language without the aid of a resource like a bilingual dictionary. This process generates the target language word for a given source language word, but need to find the similarity between source and target words. That is, in order to check how far the generated target word is right equivalent an edit distance calculation is needed between source and target languages words. Presently there was no automated process for finding edit cost between source and target languages words. This work proposes a new Particle Swarm Optimization (PSO) algorithm which is used in the transliteration algorithm process for finding optimal cost between source and target words.
  • 关键词:Swarm intelligence; particle swarm optimization; transliteration; grapheme; phoneme; hybrid
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