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In episode three of the Burt research series, Chris McCormick introduces the Burt tokenizer and how it splits texts into tokens, handling words not in the vocabulary by breaking them down. The basics of word embedding and exploring the Burt vocabulary were covered. The next step is applying Burt to a text classification task to understand its practical application and learn more about the internal architecture in future episodes.