Working with Optical Character Recognition to Document an Understudied Language: Challenges and Opportunities
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This work presents a project using trained Optical Character Recognition technology to digitize photos of printed language data, a faster alternative to manual transcription. It addresses the challenges and benefits of using this technology, and we offer tutorials of our solutions, to aid community members interested in doing similar work.
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