Deciphering natural language

This thesis work aims to bring together techniques from classical cryptography, NLP and machine learning to solve natural language problems without labeled (parallel) data and makes headway in attacking a hierarchy of problems ranging from letter substitution decipherment to sequence labeling problems to language translation.