The Python NLTK module provides the `PunktSentenceTokenizer` class, which is used for tokenizing a text into individual sentences. This tokenizer uses an unsupervised machine learning algorithm to learn abbreviations, collocations, and words that start sentences. It is trained on a large corpus of text data and can accurately handle a variety of text styles and languages. The `PunktSentenceTokenizer` is preferred over other sentence tokenizers when dealing with large amounts of text data or when working with specialized domains.
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