Regularity In Semantic Change

By A. Mueller. 2016

495 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016, methodology): “Various hypotheses have been offered about such regularities in semantic change, such as an increasing subjectiﬁcation of meaning, or the gram-maticalization of inferences (e.g., Geeraerts, 1997; Blank, 1999; Traugott and Dasher, 2001).”
Dynamic Language Models for Continuously Evolving Content (2021, background): “Aside from emerging words, it is well known that the semantics of existing words keep evolving [6, 24, 42, 43].”
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora (2016, background): “The phenomena of amelioration (words becoming more positive) and pejoration (words becoming more negative) are well-discussed in the linguistic literature (Traugott and Dasher, 2001); however, no comprehensive polarity lexicons exist for historical data (Cook and Stevenson, 2010).”
Diachronic word embeddings and semantic shifts: a survey (2018, methodology): “General linguistics research on language change like that of Traugott and Dasher (2001) and others usually contain only a small number of hand-picked examples, which is not sufﬁcient to properly evaluate an automatic unsupervised system.”