The authorship of Shakespeare&amp;#39;s plays

Hope, Jonathan

doi:10.1017/cbo9780511518942

Cited by 136 publications

(3 citation statements)

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“…Perhaps one of the oldest examples of authorship attribution (AA) was to identify the co-writers of William Shakespeare in 36 plays (collectively called "Shakespeare canon" [7]), which began in the late 17th century. The research on authorship attribution became much more popular in 1964 when researchers studied "The Federalist" papers [1].…”

Section: Related Workmentioning

confidence: 99%

Cracking double-blind review: Authorship attribution with deep learning

et al. 2023

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Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet, experienced researchers can often correctly guess from which research group an anonymous submission originates, biasing the peer-review process. In this work, we present a transformer-based, neural-network architecture that only uses the text content and the author names in the bibliography to attribute an anonymous manuscript to an author. To train and evaluate our method, we created the largest authorship-identification dataset to date. It leverages all research papers publicly available on arXiv amounting to over 2 million manuscripts. In arXiv-subsets with up to 2,000 different authors, our method achieves an unprecedented authorship attribution accuracy, where up to 73% of papers are attributed correctly. We present a scaling analysis to highlight the applicability of the proposed method to even larger datasets when sufficient compute capabilities are more widely available to the academic community. Furthermore, we analyze the attribution accuracy in settings where the goal is to identify all authors of an anonymous manuscript. Thanks to our method, we are not only able to predict the author of an anonymous work but we also provide empirical evidence of the key aspects that make a paper attributable. We have open-sourced the necessary tools to reproduce our experiments.

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Section: Related Workmentioning

confidence: 99%

Cracking double-blind review: Authorship attribution with deep learning

et al. 2023

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“…The birth of Forensic linguistics as a discipline is linked to the pioneering work of Jan Svartvik (1968) and his analysis of authorship attribution. Thus, the question of who wrote what has been a key issue in forensic linguistic research since its beginnings -as in Shakespearean authorship disputes (Hope 1994) in the 16 th century or the possible multiauthorship in the Pentateuch according to the German priest H. B. Winter in the 18 th century (olsson 2004: 11).…”

Section: Forensic Linguistics and Authorship Identificationmentioning

confidence: 99%

Historical sociolinguistics and authorship elucidation in medieval private written correspondence:

Espinosa

Campoy²

2021

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Corpora of historical correspondence and their social metadata offers a very useful archival source to carry out studies in Historical Sociolinguistics. However, illiteracy among female population and the subsequent use of scribes make authorship and gender constitute some of the most controversial socio-demographic issues when doing sociohistorical research. Letters might not have been autographs but rather dictated to a scribe, which can lead to the distortion of findings concerning authorship and gender-based patterns, from the perspective of sociolinguistic variation. On the other hand, Forensic Linguistics appeared as a branch of Applied Linguistics to assist the law in legal processes, where authorship elucidation is often one of the most disputed questions. In this paper we will present an overview of the main approaches to authorship attribution within Forensic Linguistics and relate them to sociohistorical data in the case of the letters by Margery Paston, putting their theorical tenets and techniques to the test of time. The data suggests that formal (spelling) features are less indicative of authorship than other morphosyntactic markers. Forensic Linguistics and Historical Sociolinguistics can mutually benefit each other, by sharing their expertise in authorship research and its application to current and historical texts in their social context

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“…51 Electronic editions therefore may not only provide readers with access to (and enriched experiences of) early Tudor drama, but the richly encoded texts and transcriptions upon which they rely may also enable new modes of computational scholarship -the 'newe Custome' required to systematically test traditional claims about the development of early Tudor drama and its position in literary history. 52…”

Section: Old Texts and New Customsmentioning

confidence: 99%

'To see the Playes of Theatre newe wrought': Electronic Editions and Early Tudor Drama

Hirsch

2014

Early Theatre

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The authorship of Shakespeare's plays

Cited by 136 publications

References 0 publications

Cracking double-blind review: Authorship attribution with deep learning

Cracking double-blind review: Authorship attribution with deep learning

Historical sociolinguistics and authorship elucidation in medieval private written correspondence:

'To see the Playes of Theatre newe wrought': Electronic Editions and Early Tudor Drama

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