Development of a prototypical suite of computational tools and statistical analyses to explore the corpus of Old English literature using the genomic approach of tracing information-rich patterns of letters as well as that of literary analysis and interpretation.
Professors Drout, Kahn, and LeBlanc have prepared a Level II proposal to prototype a suite of computational tools and statistical analyses to explore the Old English corpus. This work will serve as a proof of concept for the larger deployment of corpus-independent tools. Anticipated outcomes include scalable, open-source software to facilitate the computation and organization of word frequencies and other patterns and empirical measures of success when using various statistical analyses on the condensed data. An additional and essential outcome from our perspective is how this research leads to and impacts the development of interdisciplinary course materials for our connected (interdisciplinary) undergraduate courses in English, Statistics, and Computer Science in order that computational analyses become a more inviting option for faculty and advanced research students in the Humanities.