Information Potential of a Corpus of Scientific Texts

V. Komaritsa
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Abstract

The article considers publicly available corpus of texts presented in the internet, characterises and considers the potential of corpus linguistics for analysing the development of scientific trends, discourse and changes in the field of terminology. A dataset based on a corpus of texts of scientific articles in a petroleum transport trade journal and the Google Books Corpus is presented. The dataset allows us to examine changes in term usage frequencies from 1940 to 2019.The results of analyses of term usage frequencies are presented, and a comparison is made between changes in the technology industry and the development of key vocabulary. The results show that studies made using data from corpuses of scientific and technical texts have good potential for understanding trends in technological development and the dynamics of change in industry and terminology.
科学文本语料库的信息潜力
文章研究了互联网上公开提供的文本语料库,分析了语料库语言学在分析术语领域的科学趋势、话语和变化发展方面的特点和潜力。本文介绍了一个基于石油运输贸易期刊科学文章语料库和谷歌图书语料库的数据集。通过该数据集,我们可以研究从 1940 年到 2019 年术语使用频率的变化。本文介绍了术语使用频率的分析结果,并对技术行业的变化和关键词汇的发展进行了比较。结果表明,利用科技文本语料库数据进行的研究在了解技术发展的趋势以及行业和术语的动态变化方面具有良好的潜力。
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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