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

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 doc...

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Main Authors: Esteban Rodríguez Betancourt, Edgar Casasola Murillo
Format: Article
Language:English
Published: Centro Latinoamericano de Estudios en Informática 2023-09-01
Series:CLEI Electronic Journal
Subjects:
Online Access:https://clei.org/cleiej/index.php/cleiej/article/view/593
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author Esteban Rodríguez Betancourt
Edgar Casasola Murillo
author_facet Esteban Rodríguez Betancourt
Edgar Casasola Murillo
author_sort Esteban Rodríguez Betancourt
collection DOAJ
description 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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spelling doaj.art-a094c6157df54bc38d44d40b7dbb11d62023-09-22T11:10:08ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002023-09-0126210.19153/cleiej.26.2.4Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19Esteban Rodríguez Betancourt0Edgar Casasola Murillo1Universidad de Costa RicaUniversidad de Costa Rica 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. https://clei.org/cleiej/index.php/cleiej/article/view/593LinguisticsNatural Language ProcessingNatural LanguagesPragmatics
spellingShingle Esteban Rodríguez Betancourt
Edgar Casasola Murillo
Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19
CLEI Electronic Journal
Linguistics
Natural Language Processing
Natural Languages
Pragmatics
title Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19
title_full Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19
title_fullStr Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19
title_full_unstemmed Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19
title_short Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19
title_sort analysis of the semantic shift in diachronic word embeddings for spanish before and after covid 19
topic Linguistics
Natural Language Processing
Natural Languages
Pragmatics
url https://clei.org/cleiej/index.php/cleiej/article/view/593
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AT edgarcasasolamurillo analysisofthesemanticshiftindiachronicwordembeddingsforspanishbeforeandaftercovid19