Word embeddings are a form of distributional semantics increasingly popular for investigating lexical semantic change. However, typical training algorithms are

Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for

Innovative, data-driven methods provide more rigorous and systematic evidence for the description and explanation of diachronic semantic processes. The volume s

Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and ea

The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard varieties of