Diachronic word embeddings from 19th-century newspapers digitised by the British Library (1800-1919)

<p>Word vectors related to the paper&nbsp;<em>Machines in the media: semantic change in the lexicon&nbsp;of mechanization in 19th-century British newspapers&nbsp;</em>by Nilo Pedrazzini and Barbara McGillivray (2022).</p> <p>The embeddings were trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and the following parameters:</p> <pre><code>sg = True min_count = 1 window = 3 vector_size = 200 epochs = 5</code></pre> <p>The embeddings&nbsp;are divided into periods of ten years each, with the vectors from each decade aligned to the ones from the most recent decade (1910s) using Orthogonal Procrustes.</p> <p>See related GitHub repository for the full documentation:&nbsp;<a href="https://github.com/Living-with-machines/DiachronicEmb-BigHistData">https://github.com/Living-with-machines/DiachronicEmb-BigHistData</a></p> <p>Project webpage (Living with Machines):&nbsp;<a href="https://livingwithmachines.ac.uk/">https://livingwithmachines.ac.uk/</a></p>