The Lexico-Semantic Pattern Extraction Automation Based on the Analysis of Text Corpora

2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2021-10-13 DOI:10.1109/AICT52784.2021.9620334

Vladislav A. Borovin, V. Lanin, L. Lyadova

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Abstract

The need for using English at Russian universities has increased. It makes the ability to write good quality academic texts a necessary skill. Despite the existence of various types of software which can check grammar and/or style of a text, there is no software focusing on linguistic characteristics of academic texts. The academic community accumulated knowledge is to be used to develop the software that is able to assess an academic text against a set of criteria, i.e. academic discourse markers, selected from academic style guides, handbooks and research articles. At the basis of the proposed approach is creating a repository of patterns which are used to extract the academic discourse markers. To build sufficiently accurate and most suitable patterns, it is necessary to analyze a corpus of scientific publications, which is a time-consuming task. The software for the lexico-semantic pattern extraction automation based on the analysis of text corpora is described. The results of experiments with developed software are presented.

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基于文本语料库分析的词典语义模式自动提取

俄罗斯大学使用英语的需求增加了。它使撰写高质量学术文章的能力成为一项必要的技能。尽管存在各种类型的软件可以检查文本的语法和/或风格，但没有软件关注学术文本的语言特征。学术界积累的知识将用于开发能够根据一套标准(即从学术风格指南、手册和研究文章中选择的学术话语标记)评估学术文本的软件。该方法的基础是创建一个模式库，用于提取学术话语标记。为了建立足够准确和最合适的模式，有必要分析科学出版物的语料库，这是一项耗时的任务。介绍了基于文本语料库分析的词典语义模式自动抽取软件。给出了用开发的软件进行实验的结果。

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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2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)

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