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Elena Nieddu
PhD student at Roma Tre University. Presented research on "In Codice Ratio" at the TF Dev Summit, focusing on transcribing Vatican Secret Archive documents using machine learning.
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Mar 27, 2019
• 43min
Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243
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Elena Nieddu, a PhD student at Roma Tre University, dives into her fascinating project, "In Codice Ratio," which aims to transcribe and annotate documents from the Vatican Secret Archive using machine learning. She discusses the challenges of traditional OCR and shares innovative strategies for improving accuracy in transcribing medieval manuscripts. Elena also highlights the unique crowdsourcing initiative involving high school students in Italy, empowering them while enriching the project with quality annotations. This intersection of history and technology promises to unlock hidden treasures of knowledge.
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