Solving Substitution Ciphers with Combined Language Models

  title={Solving Substitution Ciphers with Combined Language Models},
  author={Bradley Hauer and Ryan B. Hayward and Grzegorz Kondrak},
We propose a novel approach to deciphering short monoalphabetic ciphers that combines both character-level and word-level language models. We formulate decipherment as tree search, and use Monte Carlo Tree Search (MCTS) as a fast alternative to beam search. Our experiments show a significant improvement over the state of the art on a benchmark suite of short ciphers. Our approach can also handle ciphers without spaces and ciphers with noise, which allows us to explore its applications to… CONTINUE READING


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