新冠肺炎前后西班牙语历时词嵌入的语义转移分析

Q4 Mathematics
Esteban Rodríguez Betancourt, Edgar Casasola Murillo
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引用次数: 0

摘要

单词的含义会随着时间的推移而改变。本研究展示了使用历时词嵌入对西班牙语词汇语义转移进行探索性分析的结果。历时数据包括2019冠状病毒病爆发前的2018年西班牙语语料库,以及包含2021年文档的第二个语料库。本文讨论了历时西班牙语词嵌入模型的构建,以及使用无监督距离向量技术分析得到的结果。结果使我们能够确定在这些时期之间语义变化最大的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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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来源期刊
CLEI Electronic Journal
CLEI Electronic Journal Computer Science-Computer Science (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
18
审稿时长
40 weeks
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