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Pattern Recognition through Computational Stylistics: Old English and Beyond
Mark LeBlanc, Wheaton College
Grant details: https://securegrants.neh.gov/publicquery/main.aspx?f=1&gn=HD-50300-08
Lexos (Computer Program)
Author: Mark D. LeBlanc
Abstract: The rapid digitization of texts presents both new opportunities and real barriers of entry to computer-assisted explorations of texts. The Lexos software developed by the Lexomics Project provides a simple, web-based workflow for text processing, statistical analysis, and visualization designed to address these barriers. The project supports Lexos’ core strength as an entry-level tool while seeking to position it as an innovative intervention in Digital Humanities conversations about the interplay of machine learning and text analysis.
Primary URL: http://lexos.wheatoncollege.edu
Primary URL Description: A simple, web-based workflow for text processing, statistical analysis, and visualization.
Access Model: open access
Programming Language/Platform: Python
Source Available?: Yes
Computer Science for the Rest of Us (Article)
Title: Computer Science for the Rest of Us
Author: RANDALL STROSS
Abstract: Many professors of computer science say college graduates in every major should understand software fundamentals. They don’t argue that everyone needs to be a skilled programmer. Rather, they seek to teach “computational thinking” — the general concepts programming languages employ.
The New York Times, Digital Business Day, Digital Domain
MARCH 31, 2012
Primary URL: http://www.nytimes.com/2012/04/01/business/computer-science-for-non-majors-takes-many-forms.html?_r=3&ref=business
Access Model: open, online section of the New York Times