Multilingual Word Embedding and Linguistic Linked Open Data for Tracing Semantic Change

Multilingual Word Embedding and Linguistic Linked Open Data for Tracing Semantic Change

This article proposes a methodology for combining natural language processing techniques for diachronic analysis and linguistic linked open data models to detect and represent semantic change. The change in meaning over time of words, phrases, or concepts encompasses complex phenomena that cannot be...

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Bibliographic Details
Main Authors: Florentina Armaselu, Barbara McGillivray, Chaya Liebeskind, Paola Marongiu, Giedrė Valūnaitė Oleškevičienė, Elena-Simona Apostol, Ciprian-Octavian Truică
Format: Article
Language:Croatian
Published: Institut za hrvatski jezik i jezikoslovlje 2024-01-01
Series:Rasprave Instituta za Hrvatski Jezik i Jezikoslovlje
Subjects:
diachronic word embedding
linguistic linked open data
semantic change
multilingual datasets
Online Access:https://hrcak.srce.hr/file/476363
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https://hrcak.srce.hr/file/476363

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