NSF Awards $600K Grant to Fund Innovative Machine Learning Approaches to Automatic Transcriptions of Islamic Manuscripts NSF Awards $600K Grant to Fund Innovative Machine Learning Approaches to Automatic Transcriptions of Islamic Manuscripts | Matthew Thomas Miller
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Matthew Thomas Miller

Assistant Professor of Persian Literature and Digital Humanities at Roshan Institute for Persian Studies, University of Maryland; Director, Roshan Initiative in Persian Digital Humanities (PersDig@UMD); and affiliate faculty of the Maryland Institute for Technology in the Humanities (MITH) & the Religious Studies and Comparative Literature Programs

NSF Awards $600K Grant to Fund Innovative Machine Learning Approaches to Automatic Transcriptions of Islamic Manuscripts NSF Awards $600K Grant to Fund Innovative Machine Learning Approaches to Automatic Transcriptions of Islamic Manuscripts | Matthew Thomas Miller
• on Digital Humanities, OCR, HTR

NSF Awards $600K Grant to Fund Innovative Machine Learning Approaches to Automatic Transcriptions of Islamic Manuscripts

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The University of Maryland will co-lead (with the University of California, San Diego) a grant totaling nearly $600K from the National Science Foundation that will fund innovative research on machine learning methods to improve the automatic transcription of Persian and Arabic manuscripts…Read more here and here.