Open AccessAn optimal method for enhancing the generation of machine code from natural language data set
Author(s) -
Chhayarani Ram Kinkar,
Yogendra Kumar Jain
Publication year - 2019
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v8i4.26593
Subject(s) - computer science , natural language programming , set (abstract data type) , natural language , cache language model , word (group theory) , code (set theory) , language identification , simple (philosophy) , data set , natural (archaeology) , natural language processing , natural language generation , artificial intelligence , language primitive , programming language , high level programming language , universal networking language , mathematics , philosophy , comprehension approach , epistemology , archaeology , programming paradigm , history , geometry
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.