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文章基本信息

  • 标题:A Survey Paper on Linguistic EntropyEstimation Techniques
  • 本地全文:下载
  • 作者:Shilpa Rani ; Punita Meelu
  • 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:2
  • 页码:256-257
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Entropy of a language is a statistical parameter which measures, in a certain sense, how much information is produced on the average for each letter of a text in a language. The amount of information carried in the arrangement of words is the same across all languages, even languages that aren’t related to each other. This consistency could hint at a single common ancestral language, or universal features of how human brains process speech. This paper is about methods, techniques available and work carried out so far for finding Entropy of Languages.
  • 关键词:Entropy;Probability;Corpus;Complexity;Information;Frequency distribution;Hindi;Natural Linguistic Programming
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