Multilingual corpus as resource for working with political speeches by European public figures

Authors

DOI:

https://doi.org/10.32589/2311-0821.2.2023.297658

Keywords:

Sketch Engine, PSEPF, Good Academic Examples extraction, European public figures, corpus compilation, automatic compilation mode, semi-automatic compilation mode, frequency score by popularity in the corpus

Abstract

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-depth
analysis 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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Published

2024-02-05

Issue

Vol. 26 No. 2 (2023)

Section

Articles

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