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Artificial Intelligent Techniques for Wireless Communication and Networking
book

Artificial Intelligent Techniques for Wireless Communication and Networking

by R. Kanthavel, K. Anathajothi, S. Balamurugan, R. Karthik Ganesh
March 2022
Intermediate to advanced content levelIntermediate to advanced
384 pages
9h 32m
English
Wiley-Scrivener
Content preview from Artificial Intelligent Techniques for Wireless Communication and Networking

10Natural Language Processing

S. Meera* and S. Geerthik

Agni College of Technology, Chennai, India

Abstract

The AI approach applies to natural language processing. The AI communication approach uses intelligent systems. These intelligent systems, such as English, use natural languages. The process of Natural Language required a smart machine such as a robot to act as per human orders when you want to hear decisions from a clinical expert system based on dialogue. The field of Natural Language Processing (NLP) includes designing a program to perform some useful natural language tasks. NLP is usually used for human use. The input and output of the structures of an NLP are: 1. Speech and 2. Written Text. Two components are used in Natural Language Processing. One is Natural Language Understanding (NLU). The second one is Natural Language Generation (NLG). This Input involves Mapping and Analyzing different aspects of language. It refers to the internal representation of Text planning, Sentence Planning, and Text Realization.

Keywords: NLP Terminology, context-free grammar, Top-Down Parser, expert system capabilities, knowledge base

10.1 Introduction

Natural language processing (NLP) is a branch of computer science and artificial intelligence that studies how computers and humans communicate in natural language. NLP’s ultimate aim is to allow computers to understand language as well as humans do.

Literature Review:

1. Cross-Lingual Ability of Multilingual BERT: An Empirical ...

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Publisher Resources

ISBN: 9781119821274Purchase Link