Computationally Accelerated Papyrology

dc.contributor.advisor Carroll, Hyrum en_US Williams, Alex C. en_US
dc.contributor.committeemember Carroll, Hyrum en_US
dc.contributor.committeemember Wallin, John en_US
dc.contributor.committeemember Li, Cen en_US
dc.contributor.department Computer Science en_US 2015-06-12T19:05:15Z 2015-06-12T19:05:15Z 2015-03-25 en_US
dc.description.abstract Papyrologists transcribe and identify papyrus fragments in order to enrich modern lives by better understanding the linguistics, culture, and literature of the ancient world. In practice, these tasks are extremely challenging and slow due the limited amount of information preserved in each papyrus fragment (i.e., due to deterioration). For example, since their discovery in the late 19th century, only 10\% of the more than 500,000 fragments in the Oxyrhynchus papyri collection has been given preliminary identifications. en_US
dc.description.abstract This thesis presents two computational approaches for accelerating papyrus transcription and identification. The first approach is a computational pipeline that aggregates millions of crowdsourced letter classifications into transcriptions of papyrus fragments. The second approach leverages genetic sequence alignment algorithms to rapidly identify damaged papyrus fragments to known papyrus manuscripts. These approaches greatly improve upon the current state-of-the-art techniques and set a new standard for leveraging computation to the transcription and identification of ancient texts. en_US M.S. en_US
dc.publisher Middle Tennessee State University en_US
dc.subject Crowdsourcing en_US
dc.subject Digital Humanities en_US
dc.subject Genetic Sequence Alignment en_US
dc.subject Identification en_US
dc.subject Papyrology en_US
dc.subject Transcription en_US
dc.subject.umi Computer science en_US
dc.subject.umi Classical studies en_US
dc.thesis.degreegrantor Middle Tennessee State University en_US
dc.thesis.degreelevel Masters en_US
dc.title Computationally Accelerated Papyrology en_US
dc.type Thesis en_US
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