An algorithmic form of “reading” (pdf)
In 2000 Moretti has introduced the concept of
reading(Moretti 2013). Later, he and his
group performed detailed analysis of literary texts(Algee-Hewitt et al.
2016), which seems to parallel a human reading. The present
contribution models the reading process of a person reading a literary
text by a set of automated processes and demonstrates the type and
amount of knowledge the reader contributes to the reading. The model
breaks the reading process into steps and identifies the knowledge used
in each step of the natural reading process (as they are introduced by
the natural reader).
automated reading with the aim at further
developing ways of
algorithmic interpretation, in digital
literary analysis (DLA), the ad- ditional information added to the text
must be identified and documented when reporting results. The approach
is outlined and then demonstrated using an example from digital literary
animal studies, automatically identifying text pieces from a corpus of
400 English fiction texts mostly from the 17th, 18th, and 19th cen-
turies, but the results are not language specific, provided the
knowledge necessary is available in an encoded form.
description of intentions and a pdf of draft text