![]() ![]() Statistical NLP, machine learning, and deep learning It also includes libraries for implementing capabilities such as semantic reasoning, the ability to reach logical conclusions based on facts extracted from text. ![]() The NLTK includes libraries for many of the NLP tasks listed above, plus libraries for subtasks, such as sentence parsing, word segmentation, stemming and lemmatization (methods of trimming words down to their roots), and tokenization (for breaking phrases, sentences, paragraphs and passages into tokens that help the computer better understand the text). Many of these are found in the Natural Language Toolkit, or NLTK, an open source collection of libraries, programs, and education resources for building NLP programs. The Python programing language provides a wide range of tools and libraries for attacking specific NLP tasks. Python and the Natural Language Toolkit (NLTK) NLG: the differences between three natural language processing concepts” for a deeper look into how these concepts relate.
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