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- Detecting Literary Plagiarisms: The Case of Oliver Goldsmith. Douglas Duhaime. University of Notre Dame: Duhaime will work on developing tools for detecting plagiarisms. He will focus on the case of Oliver Goldsmith, to detect the literary thefts of Goldsmith by using machine learning techniques.
- Taxonomizing the Texts: Towards Cultural-Scale Models of Full Text. Colin Allen, Jaimie Murdock. Indiana University Bloomington. Allen and Murdock will carry out a cultural-scale investigation and topic modeling on HT public-domain full text through random sampling to select collections according to the Library of Congress Subject Headings (LCSH).
- The Trace of Theory. Geoffrey Rockwell, Laura Mandell, Stefan Sinclair, Matthew Wilkens, Susan Brown. University of Alberta, Texas A&M University, University of Notre Dame. Rockwell, Mandell, Sinclair, Wilkens, and Brown aim to subset theoretical subsets from the HT public corpus and apply large-scale topic modeling on the subsets. The researchers will develop tools and computational methods for tracking the concept of "theory”.
- Additionally, an ACS award was made to Dr. Michelle Alexopolous, a scholar in economics from the University of Toronto, who is tracking technology diffusion through time using the HT corpus.
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