An optimal method for enhancing the generation of machine code from natural language data set

  • Authors

    • chhayarani Ram Kinkar sati
    • Yogendra Kumar Jain SATI
    2019-12-15
    https://doi.org/10.14419/ijet.v8i4.26593
  • Numerical Value, Utility Based Objectives, Constrained Based Decomposition, Structured Data Set.

  • Abstract

    Natural language processing is a very active area of research and development, there is not a single agreed upon a method that would satisfy everyone for the use of natural language to operate electronic devices or other practical applications. But there are some aspects used from many years in the formulation and solution of computational problem arising in natural language processing. This paper describes a model in which numerical values are assigned to word of natural language speech data set to convert the information present in natural language speech data set into an intermediate numeric form as a structured data set. The intermediated numerical values of each word will be used for generation of machine code which will be easily understand by electronic devices to draw inferences from data set. The designed model is useful for a number of practical applications and very simple to implement.

     

     

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  • How to Cite

    Ram Kinkar, chhayarani, & Kumar Jain, Y. (2019). An optimal method for enhancing the generation of machine code from natural language data set. International Journal of Engineering & Technology, 8(4), 590-595. https://doi.org/10.14419/ijet.v8i4.26593

    Received date: 2019-01-28

    Accepted date: 2019-06-09

    Published date: 2019-12-15