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2019 ACL ACL 2019

Studying Semantic Chain Shifts with Word2Vec: FOOD>MEAT>FLESH

Abstract

AbstractWord2Vec models are used to study the semantic chain shift FOOD>MEAT>FLESH in the history of English, c. 1425-1925. The development stretches out over a long time, starting before 1500, and may possibly be continuing to this day. The semantic changes likely proceeded as a push chain.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Interdisciplinary and Natural Language Processing

Authors

Richard Zimmermann

Topics

Machine Learning > Core Methods > Embedding Learning Natural Language Processing > Resources & Methods > Text Representation Interdisciplinary > Linguistics > Computational Linguistics Interdisciplinary > Linguistics > Semantics Deep Learning > Learning Types > Representation Learning

Keywords

lexical semantics historical linguistics distributional semantics semantic shift word embedding semantic change diachronic semantics semantic chain push chain semantic chain shift
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