Historical Ink: Semantic Shift Detection for 19th Century Spanish

Autor:	Montes, Tony, Manrique-Gómez, Laura, Manrique, Rubén
Rok vydání:	2024
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence I.2.7
Zdroj:	ACL, Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change, pages 29-41, 2024
Druh dokumentu:	Working Paper
Popis:	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. Comment: 13 pages; added a preprint-reference URL
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.12852 Zobrazit plný text záznamu View this record from Arxiv