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<span style="font-size: 12px;">Undergraduates.</span>
</div><div><span style="font-size: 12px;">Seriously, there's so much contextualisation that goes on when reading handwriting, unless there's a machine learning model of the language, I can pretty much guarantee that an undergrad or two with some epigraphy training and a general idea of possible syllables in the language will do much better than any program.</span></div><div><span style="font-size: 12px;">Claire</span></div>
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<p style="color: #A0A0A8;">On Tuesday, July 10, 2012 at 1:41 PM, James N. Stanford wrote:</p>
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<div><span style="border-collapse: collapse; color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 13px; ">Dear RNLD,</span></div>
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Does anyone have a suggestion about handwriting recognition software? An Abenaki student is trying to take 400 pages of old documents of handwritten Abenaki and turn them into text, i.e., from a scanned handwritten PDF to an editable Word document. It's written
in a Roman alphabet script.
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<div>Any ideas?</div>
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<div>Thanks,</div>
<div>Jim</div>
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James N. Stanford, Ph.D.<br>
Assistant Professor of Linguistics & Cognitive Science<br>
Dartmouth College<br>
305 Reed Hall, HB 6220<br>
Hanover, NH 03755<br>
<a href="tel:%28603%29646-0099" value="+16036460099" target="_blank" style="color: rgb(17, 85, 204); ">(603)646-0099</a></p>
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<a href="http://www.dartmouth.edu/~jstanford" target="_blank" style="color: rgb(17, 85, 204); ">www.dartmouth.edu/~jstanford</a></p>
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e-mail: <a href="mailto:James.N.Stanford@Dartmouth.edu">James.N.Stanford@Dartmouth.edu</a></p>
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or: <a href="mailto:stanfo23@gmail.com" target="_blank" style="color: rgb(17, 85, 204); ">stanfo23@gmail.com</a></p>
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