AI Transcription to Support Accessibility and Access for Digital Collections

Alternative Title

Artificial Intelligence (AI) Transcription to Support Accessibility and Access for Digital Collections

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2024 : Orlando, Fla.)

Location

Sawgrass

Start Date

23-7-2024 1:30 PM

End Date

23-7-2024 2:00 PM

Publisher

University of Central Florida Libraries

Keywords:

Accessibility; Transcription; Digital collections; AI tools; Handwritten sources

Subjects

Archival materials--Digitization; Artificial intelligence--Library applications; Libraries--Special collections--People with disabilities; Computer-aided transcription systems; Technology--Archival resources

Description

The University of South Florida (USF's) Digital Collections is engaging human-in-the-loop AI tools to support the mass transcription of digitized handwritten primary sources. This session will provide an overview of USF's effort to achieve comprehensive, machine-readable, transcriptions for all records in the collection, with a specific emphasis on the significance of this work as a tool for improving collection accessibility for users with vision limitations or who simply struggle to read cursive. Included in this session will be an interactive demonstration with AWS Textract and READ-COOP's Transkribus.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Librarians, Faculty, General Audience

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Jul 23rd, 1:30 PM Jul 23rd, 2:00 PM

AI Transcription to Support Accessibility and Access for Digital Collections

Sawgrass

The University of South Florida (USF's) Digital Collections is engaging human-in-the-loop AI tools to support the mass transcription of digitized handwritten primary sources. This session will provide an overview of USF's effort to achieve comprehensive, machine-readable, transcriptions for all records in the collection, with a specific emphasis on the significance of this work as a tool for improving collection accessibility for users with vision limitations or who simply struggle to read cursive. Included in this session will be an interactive demonstration with AWS Textract and READ-COOP's Transkribus.