Chapman and Hall/CRC
250 pages | 50 B/W Illus.
This book presents an overview of the state of the art in the application of unsupervised algorithms to the study of undeciphered scripts. It shows how these algorithms can be applied to the Indus script, which is a major undeciphered script of the ancient world. The author explains how modern pattern recognition and search techniques implemented on the digital computer can considerably reduce human effort in uncovering patterns and syntax in undeciphered scripts. These can then form the basis on which semantic information and decipherment can be obtained.
Introduction to Ancient Scripts. Statistical Models of Symbol Sequences. Information Theoretic Measures of Markov Chains. The Use of Kolmogorov Complexity for Undeciphered Scripts. Unsupervised Learning of Grammar for Undeciphered Scripts. Checking Proposed Decipherments by Computer. Conclusion and Review of Future Work. Appendix.