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.
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