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Products for grant HAA-263837-19

HAA-263837-19
Improving Optical Character Recognition and Tracking Reader Annotations in Printed Books by Collating and Transcribing Multiple Exemplars
David Smith, Northeastern University

Grant details: https://securegrants.neh.gov/publicquery/main.aspx?f=1&gn=HAA-263837-19

Alignment-Based Training for Detecting Reader Annotations in Printed Books (Conference Paper/Presentation)
Title: Alignment-Based Training for Detecting Reader Annotations in Printed Books
Author: Soumya Mohanty
Author: David A. Smith
Abstract: Digitized books preserve not only the printed text on the page but also the marks of readers' past engagement. These reader annotations include extra text such as handwritten notes or corrections, underlines, highlights, brackets, delimiters, etc. Building a model that could automatically detect and localize these annotations can allow us to trace which passages interested readers and what additions if any, they made to the text. ... [exceeds 2000 characters]
Date: 5/8/2019
Primary URL: http://datech.digitisation.eu/programme/schedule/
Primary URL Description: conference website
Conference Name: Digital Access to Textual Cultural Heritage (DATeCH)


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