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Showing 1 to 1 of 1 for “"historical text analysis"”.

  1. Self-attentive generative adversarial network-based authorship attribution in historical texts

    … the task of identifying the author of an unknown text. Given the large number of disputed texts and widespread use of pen names in humanities, especially in historical and literary texts, this study aims to follow a deep-learning-based approach to perform authorship attribution in historical

    wlv Repository record for Self-attentive generative adversarial network-based authorship attribution in historical texts (opens in a new tab)