自然语言处理的起源和主要应用领域

Zsolt Krutilla, A. Kovari
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引用次数: 2

摘要

用计算机进行自然语言处理,即NLP,在当今的IT领域越来越受欢迎。本研究的目的是对NLP主题发表的文章进行分析,并从几个方面进行总结,特别是关于该技术的发展和实际应用。NLP作为一种技术的想法并不是在21世纪形成的,但早在20世纪50年代,就已经进行了相关的研究,并创造了有关机器如何能够解释人类语言的理论。从简单的算法到深度学习,技术已经走了很长一段路,但它还没有解决自然语言的机器处理问题。这项研究证实了这样一种观点,即数学建模和基于统计概率的模型在该学科的早期和计算机出现之前主导了该领域。然而,尽管技术进步了,但还没有找到解决计算机处理自然语言的全面和无所不包的问题的方法。为了确定NLP未来的研究领域,我们需要考虑到该技术所基于的文本文件。从这个角度来看,我们可以关注保险和银行部门,在这些部门发生了一系列的管理流程,其中集中的纸张处理是流程的传入数据集,并且可以使用追溯到几年前的数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The origin and primary areas of application of natural language processing
Natural language processing with computers, i.e. NLP, is increasingly gaining ground in today's IT. The purpose of this study is to analyze the articles published in the NLP topic and to summarize it from several aspects, especially with regards to the development and practical application of the technology. The idea of NLP as a technology was not formulated in the 21st century, but already in the 1950s, relevant research was carried out and theories were created regarding how a machine can become capable of interpreting human speech. Technology has come a long way from simple algorithms to Deep Learning, but it has not yet solved the problem of machine processing of natural language. The research has confirmed the idea that mathematical modelling and models based on statistical probability dominated the field in the early days of the discipline and before the advent of computers. However, despite technological progress, no solution has yet been found to the comprehensive and all-encompassing problem of natural language processing with computers. To determine the future research area of NLP, we need to take into account the text files on which the technology is based. From this perspective, we can focus on the insurance and banking sectors, where a series of administrative processes take place where centralized paper processing is the incoming data set of the process and a database going back several years may be available.
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