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Measuring Semantic Drift Across Generational Corpora: A Framework Using Pretrained Embeddings

2025-09-08

Abstract excerpt

Language evolves continuously, with words acquiring new meanings across generations. This paper introduces a systematic framework to measure semantic drift using pretrained embeddings applied to temporally segmented corpora. We present a proof-of-concept experi- ment comparing Wikipedia texts from two generational cohorts: Generation Z (1997–2012) and Generation Alpha (2013–present). Unlike resource-intensive diac...

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Identifiers and source

Literature Corpus work
36a29e5c-58bd-5d63-be7a-9297ff1d2624
DOI
10.20944/preprints202509.0661.v1
Open publication

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Measuring Semantic Drift Across Generational Corpora: A Framework Using Pretrained EmbeddingsDOI 10.20944/preprints202509.0661.v1
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