A Comprehensive Analytical Study of Traditional and Recent Development in Natural Language Processing

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Abstract

This paper acts as a comprehensive analytical study of natural language processing (NLP) and provides a briefing of the most prominent astounding reforms of the field over a good chunk of time. It covers even the future research insights and most relevant features, which act as a result of the discussed concepts or research, until this paper's reading point. This paper starts with covering the most basic concepts of text cleaning, such as tokenization, the importance of stop words, etc., to concepts such as sequence modeling, speech recognition, the effect of quantum computing concepts in Natural Language Processing, and so on. The current development of deep neural networks, which is the current trend in artificial intelligence, always gives NLP a cutting-edge technology, also covered in this paper. This paper will also emphasize that it covers the broad area of explanations to the concepts to guide learners or researchers to have an excellent overall understanding of the field.
自然语言处理传统与最新发展的综合分析研究
本文对自然语言处理(NLP)进行了全面的分析研究,并简要介绍了该领域在很长一段时间内最突出的令人震惊的改革。它甚至涵盖了未来的研究见解和最相关的特征,作为讨论的概念或研究的结果,直到本文的阅读点。本文从文本清理的最基本概念,如标记化、停止词的重要性等,到序列建模、语音识别、量子计算概念在自然语言处理中的作用等概念。深度神经网络是当前人工智能的发展趋势,它的发展始终赋予了NLP一项前沿技术,本文也对此进行了介绍。本文还将强调,它涵盖了对概念的广泛解释,以指导学习者或研究人员对该领域有一个很好的整体理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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