Analysis on connection and translation of natural language to traditional computer language

Abstract

From Siri to ChatGPT, natural language processing has been applied to human-computer conversations with remarkable success. Natural language processing (NLP) is an intimate connection between humans and computers, allowing machine learning to directly translate human language into computer language. They appear to be able to communicate directly with humans. Using a literature review methodology, this paper examines the connection and translation of natural language to traditional computer language. In addition to describing the fundamental principles, primary tasks, and implementation steps of NLP, it analyzes the problems that may arise during the development process in the future. In addition to comparing, citing, and classifying human language and computer language, the paper employs appropriate computer language processing tools. Through a side-by-side comparison of natural language and traditional computer language, the fundamental principles of natural language processing are explained and analyzed concisely, and some helpful suggestions for the detailed processing of natural language are provided.