Historical Ink: Semantic Shift Detection for 19th Century Spanish

Fuente: arXiv
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Autori principali: Montes, Tony, Manrique-Gómez, Laura, Manrique, Rubén
Natura: Preprint
Pubblicazione: 2024
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author Montes, Tony
Manrique-Gómez, Laura
Manrique, Rubén
author_facet Montes, Tony
Manrique-Gómez, Laura
Manrique, Rubén
contents This paper explores the evolution of word meanings in 19th-century Spanish texts, with an emphasis on Latin American Spanish, using computational linguistics techniques. It addresses the Semantic Shift Detection (SSD) task, which is crucial for understanding linguistic evolution, particularly in historical contexts. The study focuses on analyzing a set of Spanish target words. To achieve this, a 19th-century Spanish corpus is constructed, and a customizable pipeline for SSD tasks is developed. This pipeline helps find the senses of a word and measure their semantic change between two corpora using fine-tuned BERT-like models with old Spanish texts for both Latin American and general Spanish cases. The results provide valuable insights into the cultural and societal shifts reflected in language changes over time.
format Preprint
id arxiv_https___arxiv_org_abs_2407_12852
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Historical Ink: Semantic Shift Detection for 19th Century Spanish
Montes, Tony
Manrique-Gómez, Laura
Manrique, Rubén
Computation and Language
Artificial Intelligence
I.2.7
This paper explores the evolution of word meanings in 19th-century Spanish texts, with an emphasis on Latin American Spanish, using computational linguistics techniques. It addresses the Semantic Shift Detection (SSD) task, which is crucial for understanding linguistic evolution, particularly in historical contexts. The study focuses on analyzing a set of Spanish target words. To achieve this, a 19th-century Spanish corpus is constructed, and a customizable pipeline for SSD tasks is developed. This pipeline helps find the senses of a word and measure their semantic change between two corpora using fine-tuned BERT-like models with old Spanish texts for both Latin American and general Spanish cases. The results provide valuable insights into the cultural and societal shifts reflected in language changes over time.
title Historical Ink: Semantic Shift Detection for 19th Century Spanish
topic Computation and Language
Artificial Intelligence
I.2.7
url https://arxiv.org/abs/2407.12852