Aligning Historical Ciphertext and Plaintext Using Statistical Machine Translation Meth-ods

This thesis examines how generative alignment models, specifically IBM Models 1 and 2 commonly used in statistical machine translation, can be used for the task of aligning historical ciphertexts with their corresponding plaintexts, and indicates that both models perform poorly when handling different types of errors.