Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19

Authors

  • Esteban Rodríguez Betancourt Universidad de Costa Rica
  • Edgar Casasola Murillo Universidad de Costa Rica

DOI:

https://doi.org/10.19153/cleiej.26.2.4

Keywords:

Linguistics, Natural Language Processing, Natural Languages, Pragmatics

Abstract

Words can shift their meaning across time. This study shows the results obtained by the exploratory analysis of the semantic shifting on Spanish vocabulary using Diachronic Word Embeddings. Diachronic data consists of a 2018 Spanish corpus, before the COVID-19 outbreak, and a second corpus with documents from 2021. This paper addresses the construction of the diachronic Spanish word embeddings model, as well as the results obtained by the analysis using a non-supervised distance vector technique. The results allowed us to identify topics with the most semantic shift between those periods.

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Published

2023-09-23

Issue

Vol. 26 No. 2 (2023): Special Issue of CLEI 2022 best papers and Regular papers

Section

Articles

License

Copyright (c) 2023 Esteban Rodríguez Betancourt, Edgar Casasola Murillo

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

CLEIej is supported by its home institution, CLEI, and by the contribution of the Latin American and international researchers community, and it does not apply any author charges whatsoever for submitting and publishing. Since its creation in 1998, all contents are made publicly accesibly. The current license being applied is a (CC)-BY license (effective October 2015; between 2011 and 2015 a (CC)-BY-NC license was used).