多语种语料库作为欧洲公众人物政治演讲的工作资源

T. Anokhina
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引用次数: 0

摘要

文章探讨了如何将多语种语料库用作分析欧洲公众人物政治演讲的工具。文章的新颖之处在于自动和半自动编制语料库,重点关注欧洲领导人、关键人物和经济学家的演讲。文章通过多语言语料库的编纂,引入了一种分析欧洲公众人物政治演讲的新方法。在 Sketch Engine 功能的帮助下,半自动编译模式实现了高效处理和可视化,为课程参与者提供了对当代数字时代有影响力的演讲的独特见解。这种语料库方法有助于创建一个全面的政治演讲资料库,成为欧洲研究教学的宝贵资源。语料库的汇编主要包括欧洲领导人、重要人物和经济学家的著名演讲。编纂过程分为几个阶段,最终形成了可供深入分析和研究的演讲语料库。利用草图引擎的功能,我们以半自动模式处理了语料库。注重可视化的目的是让课程参与者了解现代数字时代最突出的演讲。公众可访问的演讲稿被格式化为 txt 文件,以补充语料库。其余部分则以语料库自动编制模式输入。研究成果包括从草图引擎中提取的优秀学术范例,以及通过流行度(频率得分)验证的欧洲公众人物演讲语料库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multilingual corpus as resource for working with political speeches by European public figures
The article examines the use of the multilingual corpus as a tool for analyzing political speeches by European public figures. The novelty of the article lies in the automatic and semi-automatic compilation of the corpus, focusing on speeches delivered by European leaders, key figures and economists. It introduces a novel approach to the analysis of political speeches by European public figures through the compilation of a multilingual corpus. The semi-automatic compilation mode, facilitated by Sketch Engine functionalities, allowed for efficient processing and visualization, offering course participants a unique insight into influential speeches in the contemporary digital era. This corpus approach facilitated the creation of a comprehensive library of political speeches, serving as a valuable resource for teaching European Studies. The compilation of the corpus primarily includes famous speeches delivered by European leaders, key figures and economists. The process of compilation involved several stages resulting in the corpus of speeches available for in-depthanalysis and study. Using the functionalities of Sketch Engine, we processed the compilation in a semi-automatic mode. The focus on visualization aimed at making the course participants aware of the most prominent speeches in the modern digital era. The speeches available for the public access were formatted into txt files to supplement the corpus. The remaining part was entered in the automatic mode of corpus compilation. The results of the study included Good Academic Examples extraction from Sketch Engine and the corpus of European public figures’ speeches verified by popularity (the frequency score).
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