This project proposes to mine the largest data collection of Ancient Greek and Latin literature to extract contextual collocations and n-gram features and then train a deep-learning algorithm to determine when words that describe race, ethnicity, naturalization, immigration, gender, and social status were first encountered in classical literature and how they were used.