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Python is a dynamic, object-oriented programming language that can be used for many kinds of software development. It offers strong support for integration with other languages and tools, comes with extensive standard libraries, and can be learned in a few days. Many Python programmers report
NLTK — the Natural Language Toolkit — is a suite of open source Python modules, linguistic data and documentation for research and development in natural language processing, supporting dozens of NLP tasks, with distributions for Windows, Mac OSX and Linux.
Lepl is a parser for Python 3 (mostly backwards compatible with 2.6). Features: * Parsers are Python code, defined in Python itself. No separate grammar is necessary. * Friendly syntax using Python's operators allows grammars to be defined in a declarative
RXPY is a regular expression library, written purely in Python, that is almost completely backwards compatible with the standard Python re library (only locale-based character groups are not supported). It has a modular design that allows different alphabets and engines to be used. This allows
A minimalist implementation of Python in 64k of code. Includes functions, classes, exceptions, lists, dictionaries, modules, list comprehensions, parser, compiler, virtual machine, garbage collection, numbers, strings, and (some) builtins. Batteries not included.
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CorpusCatcher is a corpus collection toolset. It can help you to build language or topic specific corpora from publicly available web resources. This can be very useful for many purposes, especially for data to build spell checkers.
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