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Image to InterpretationAn Intelligent System to Aid Historians in Reading the Vindolanda Texts$
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Melissa Terras

Print publication date: 2006

Print ISBN-13: 9780199204557

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780199204557.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 18 October 2019

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Chapter:
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Source:
Image to Interpretation
Author(s):

Melissa M. Terras (Contributor Webpage)

Dr Paul Robertson

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199204557.003.0005

This chapter discusses the application of the GRAVA system to analyze various sets of test data to determine its effectiveness in producing the correct ‘reading’ of a text. Images of various sections of ink and stylus tablet fed into the system provided encouraging results, and indicated the asymptotic nature of the system’s convergence on a solution. Although a complete stand alone system has not yet been developed, these results demonstrate a proof of concept: that MDL can be used to compare and contrast semantically different information, and propagate realistic interpretations of image data within a reasonable time frame. This technique could form the basis of a future stand-alone system to read further examples of the Vindolanda texts. Suggestions regarding future work which could improve the success of the system are presented.

Keywords:   artificial intelligence, Minimum Description Length, image processing, image interpretation

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