<ul><li>Tokenized words can be further processed for tasks like converting all words to lowercase, removing stop words, and stemming or lemmatization.</li><li>Tokenized text is often converted into numerical form for machine learning models to understand.</li><li>Optimization via Expectation-Maximization (EM) is used to compute the probability of each possible tokenization for a given sentence.</li><li>The tokenizer can be trained on a custom dataset and saved as a json for further use.</li></ul>

tokenizations

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