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    The Great Automatic Grammatizator: Writing, Labour, Computers

    Eve, Martin Paul (2017) The Great Automatic Grammatizator: Writing, Labour, Computers. Critical Quarterly , ISSN 0011-1562. (In Press)

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    What does it mean when we say that computers can ‘write’ and how are recent developments in neural networks and machine learning changing this capacity? This article examines the long-standing literary fear of authorship being replaced by machines while also interrogating the labour and credit implications that sit behind widely used structures of authorship in a technological age. The argument makes reference to one work of computer-generated writing – Johannes Heldén & Håkan Jonson’s Evolution [2014] – and to one software paradigm (a character-based recurrent neural networks for language acquisition trained on the corpus of the journal Textual Practice). I here argue that unless we conceive more broadly of the criteria for ‘authorship’ as a labour function, and unless we take seriously the need to see textual production as social production, hybridized (but predominantly) machine identities will come to dominate a literary landscape.


    Item Type: Article
    School: Birkbeck Schools and Departments > School of Arts > English and Humanities
    Depositing User: Martin Paul Eve
    Date Deposited: 10 May 2017 06:45
    Last Modified: 11 Aug 2017 15:46


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