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1. What Natural Language Generation Means for Authorship and Why We Should Care

   Natural language generation (NLG) – the process wherein computers translate data into readable human languages – has become increasingly present in our modern digital climate. In the last decade, numerous companies specialising in the mass-production of computer-generated news articles have emerged; National Novel Generation Month (NaNoGenMo) has become a popular annual event; #botALLY is used to identify those in support of automated agents producing tweets. Yet NLG has not been subject to any systematic study within the humanities.

   leahhenrickson - 13.08.2018 - 21:09

2. How Computers Read Computer Generated Novels

   In this paper, Whalen proposes a course of study into the textuality of computer-generated novels, specifically the corpus of work generated for NaNoGenMo. Given the scope of this corpus, Whalens' intention is to use text analysis techniques such as topic modeling, frequency analysis, stylometrics, and other varieties of machine reading to explore these questions about the textual characteristics of computer-generated fiction. 

   sondre rong davik - 29.08.2018 - 15:29