NLTK version 1.1 is now available on SourceForge:
NLTK, the Natural Language Toolkit, is a suite of Python libraries and
programs for symbolic and statistical natural language processing.
NLTK includes graphical demonstrations and sample data. It is
accompanied by extensive documentation, including tutorials that
explain the underlying concepts behind the language processing tasks
supported by the toolkit.
NLTK is ideally suited to students who are learning NLP (natural
language processing) or conducting research in NLP or closely related
areas, including empirical linguistics, cognitive science, artificial
intelligence, information retrieval, and machine learning. NLTK has
been used successfully as a teaching tool, as an individual study
tool, and as a platform for prototyping and building research systems.
NLTK version 1.1 adds:
- A new package containing 11 datasets that are useful for
developing and testing NLP tools, along with tokenizers and
parsers to provide a high-level interface to the datasets.
- A new package containing third party contributions to NLTK
that have not (yet) been incorporated into the toolkit.
- Significant improvements to the documentation, including new
tutorials, revised tutorials, and improved API documentation.
- A new module that defines a standard interface for stemmers,
and implements the Porter stemmer.
- Improvements to the graphical demos.
For a complete list of improvements, see the change log:
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