shayneobrien / evolution-of-language

Visually explore how the meaning of words changes over time.

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evolution-of-language

Reimplementation and visualization of the Hamilton et al. (2016) paper Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change.

Expects .pkl files of part of speech and counts statistics by decade from the Google Books fiction corpus. Also expects aligned word embeddings.

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Visually explore how the meaning of words changes over time.


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Language:Jupyter Notebook 85.5%Language:Python 14.5%