[Sds-seminars] Fwd: [Statseminars] S&DS Talk, Joseph Dexter, 3/4, "Quantifying literary style and evolution", DL 220

[Dan Spielman]

---------- Forwarded message ---------
From: Elizavette Torres <elizavette.torres at yale.edu>
Date: Thu, Feb 28, 2019 at 10:53 AM
Subject: [Statseminars] S&DS Talk, Joseph Dexter, 3/4, "Quantifying
literary style and evolution", DL 220
To: <Statseminars at mailman.yale.edu>, <sds-majors at mailman.yale.edu>


[image: Department of Statistics and Data Science]
<https://statistics.yale.edu/>*Department of Statistics and Data Science *
<https://statistics.yale.edu/>
JOSEPH DEXTER , Dartmouth College

Date: Monday, March 04, 2019

Time: 4:00PM to 5:15PM

Location: Dunham Lab

10 Hillhouse Avenue, Rm. 220  see map
<http://maps.google.com/?q=%2C+%2C+%2C+%2C+us>

Website <https://complit.dartmouth.edu/people/joseph-p-dexter>







*Quantifying literary style and evolution*



*Information and Abstract: *

The digitization of vast corpora of texts is enabling quantitative,
data-driven approaches to the study of literature and culture. Research in
the Digital Humanities has tended to prioritize Modern English literature
for several reasons, including the availability of high-quality natural
language processing resources for English and the central position of
Anglophone authors and English translations in literary criticism. In this
talk, I will describe the development of computational text analysis
techniques for premodern literary traditions such as Latin, ancient Greek,
and Old English, focusing on two complementary approaches that enable deep
diachronic profiling: quantification of aspects of writing style beyond
word choice, and sequence alignment for mapping inexact verbal
relationships across corpora. I will explore how these methods can be
applied both to address longstanding questions in the humanities -
including the development of Latin prose style across the Roman Republic
and Empire, the compositional unity of Beowulf, and the “intertextual”
influence of Vergil on later poets - and to characterize the cultural
evolution of literature over long time scales.



*3:45 p.m.**   Pre-talk tea Dunham Lab, Suite 222, Breakroom 228*

For more details and upcoming events visit our website at
http://statistics.yale.edu/ .






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