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Film, Video Connecting Patrons & Collections with Machine Learning Technology

Transcript: TEXT

About this Item

Title

  • Connecting Patrons & Collections with Machine Learning Technology

Summary

  • In support of its mission to increase access and engagement with collections, the Library of Congress has shepherded a machine learning pilot project to improve description of cartographic hidden gems. Learn how the Library is working to make one million records, with minimal level description in the form of handwritten folder labels, available for patrons to browse and search online. The presentation includes details of an experimental project to test handwritten text recognition tools for converting the handwritten labels into machine-readable text. Techniques and outcomes will be discussed, as well as potential implications for large-scale transformation of handwritten metadata into fully searchable, machine-readable text.

Event Date

  • Wednesday, May 15, 2024

Running Time

  • 1 hour, 38 seconds

Online Format

  • image
  • online text
  • video

Rights & Access

While the Library of Congress created most of the videos in this collection, they include copyrighted materials that the Library has permission from rightsholders to present. Rights assessment is your responsibility. The written permission of the copyright owners in materials not in the public domain is required for distribution, reproduction, or other use of protected items beyond that allowed by fair use or other statutory exemptions. There may also be content that is protected under the copyright or neighboring-rights laws of other nations. Permissions may additionally be required from holders of other rights (such as publicity and/or privacy rights). Whenever possible, we provide information that we have about copyright owners and related matters in the catalog records, finding aids and other texts that accompany collections. However, the information we have may not be accurate or complete.

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Credit Line: Library of Congress

Cite This Item

Citations are generated automatically from bibliographic data as a convenience, and may not be complete or accurate.

Chicago citation style:

Connecting Patrons & Collections with Machine Learning Technology. 2024. Video. https://aj.sunback.homes/item/video-10132/.

APA citation style:

(2024) Connecting Patrons & Collections with Machine Learning Technology. [Video] Retrieved from the Library of Congress, https://aj.sunback.homes/item/video-10132/.

MLA citation style:

Connecting Patrons & Collections with Machine Learning Technology. 2024. Video. Retrieved from the Library of Congress, <aj.sunback.homes/item/video-10132/>.