Open AccessA collection of Swedish diachronic word embedding models trained on historical newspaper data
Author(s) -
Simon Hengchen,
Nina Tahmasebi
Publication year - 2020
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.4274482
Subject(s) - newspaper , word (group theory) , linguistics , natural language processing , word embedding , data collection , history , embedding , artificial intelligence , computer science , mathematics , statistics , sociology , media studies , philosophy
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