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A 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.4301658
Subject(s) - newspaper , word (group theory) , natural language processing , word embedding , linguistics , history , computer science , artificial intelligence , embedding , sociology , media studies , philosophy

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