Module Hierarchy

_tkinter
nltk_lite: NLTK-Lite is a collection of lightweight NLP modules designed for maximum simplicity and efficiency.
- nltk_lite.chat: A class for simple chatbots.
  - nltk_lite.chat.eliza
  - nltk_lite.chat.iesha: This chatbot is a tongue-in-cheek take on the average teen anime junky that frequents YahooMessenger or MSNM.
  - nltk_lite.chat.rude
  - nltk_lite.chat.suntsu
  - nltk_lite.chat.zen: Zen Chatbot talks in gems of Zen wisdom.
- nltk_lite.chunk: Classes and interfaces for identifying non-overlapping linguistic groups (such as base noun phrases) in unrestricted text.
  - nltk_lite.chunk.convert
  - nltk_lite.chunk.regexp
- nltk_lite.cluster: This module contains a number of basic clustering algorithms.
  - nltk_lite.cluster.em
  - nltk_lite.cluster.gaac
  - nltk_lite.cluster.kmeans
- nltk_lite.contrib
  - nltk_lite.contrib.classifier
    - nltk_lite.contrib.classifier.attribute
    - nltk_lite.contrib.classifier.autoclass
    - nltk_lite.contrib.classifier.cfile
    - nltk_lite.contrib.classifier.classify
    - nltk_lite.contrib.classifier.commandline
    - nltk_lite.contrib.classifier.confusionmatrix
    - nltk_lite.contrib.classifier.decisionstump
    - nltk_lite.contrib.classifier.decisiontree
    - nltk_lite.contrib.classifier.discretise
    - nltk_lite.contrib.classifier.discretisedattribute
    - nltk_lite.contrib.classifier.exceptions
    - nltk_lite.contrib.classifier.featureselect
    - nltk_lite.contrib.classifier.format
    - nltk_lite.contrib.classifier.instance
    - nltk_lite.contrib.classifier.instances
    - nltk_lite.contrib.classifier.item
    - nltk_lite.contrib.classifier.numrange
    - nltk_lite.contrib.classifier.oner
    - nltk_lite.contrib.classifier.zeror
  - nltk_lite.contrib.classifier_tests
    - nltk_lite.contrib.classifier_tests.alltests
    - nltk_lite.contrib.classifier_tests.attributestests
    - nltk_lite.contrib.classifier_tests.attributetests
    - nltk_lite.contrib.classifier_tests.autoclasstests
    - nltk_lite.contrib.classifier_tests.cfiletests
    - nltk_lite.contrib.classifier_tests.classifytests
    - nltk_lite.contrib.classifier_tests.confusionmatrixtests
    - nltk_lite.contrib.classifier_tests.decisionstumptests
    - nltk_lite.contrib.classifier_tests.decisiontreetests
    - nltk_lite.contrib.classifier_tests.discretisedattributetests
    - nltk_lite.contrib.classifier_tests.discretisetests
    - nltk_lite.contrib.classifier_tests.featureselecttests
    - nltk_lite.contrib.classifier_tests.formattests
    - nltk_lite.contrib.classifier_tests.inittests
    - nltk_lite.contrib.classifier_tests.instancestests
    - nltk_lite.contrib.classifier_tests.instancetests
    - nltk_lite.contrib.classifier_tests.itemtests
    - nltk_lite.contrib.classifier_tests.numrangetests
    - nltk_lite.contrib.classifier_tests.onertests
    - nltk_lite.contrib.classifier_tests.zerortests
  - nltk_lite.contrib.classify
    - nltk_lite.contrib.classify.cosine: Cosine Classifier -- Beta version
    - nltk_lite.contrib.classify.naivebayes: Naive Bayes Classifier -- Beta version
    - nltk_lite.contrib.classify.spearman: Spearman Classifier -- Beta version
  - nltk_lite.contrib.combined
  - nltk_lite.contrib.concord
  - nltk_lite.contrib.dependency
    - nltk_lite.contrib.dependency.deptree: Tools for reading and writing dependency trees.
    - nltk_lite.contrib.dependency.tag2tab: Utilities for converting chunked treebank into format that can be input to Nivre's MaltParser.
  - nltk_lite.contrib.didyoumean
  - nltk_lite.contrib.featuredemo
  - nltk_lite.contrib.featurelite: This module provides utilities for treating Python dictionaries as feature structures.
  - nltk_lite.contrib.fsa: A module for finite state automata.
  - nltk_lite.contrib.fst: Finite state transducer support, including graphical display & demo, and interface code for AT&T fsmtools.
    - nltk_lite.contrib.fst.draw_graph: Graphically display a graph.
    - nltk_lite.contrib.fst.fst: Finite state transducers.
  - nltk_lite.contrib.hole
  - nltk_lite.contrib.ieer_rels: Code for extracting triples of the form (subj, filler, obj) from the ieer corpus, after the latter has been converted to chunk format.
  - nltk_lite.contrib.kimmo: Kimmo Morphological Analyzer.
  - nltk_lite.contrib.lambda
  - nltk_lite.contrib.lex: Ewan Klein, March 2007
  - nltk_lite.contrib.marshal
  - nltk_lite.contrib.marshalbrill: Brill's transformational rule-based tagger.
  - nltk_lite.contrib.mit
    - nltk_lite.contrib.mit.six863
      - nltk_lite.contrib.mit.six863.kimmo
        
        nltk_lite.contrib.mit.six863.kimmo.draw
        
        nltk_lite.contrib.mit.six863.kimmo.featurelite: This module provides utilities for treating Python dictionaries as feature structures.
        
        nltk_lite.contrib.mit.six863.kimmo.fsa: A module for finite state automata.
        
        nltk_lite.contrib.mit.six863.kimmo.kimmo
        
        nltk_lite.contrib.mit.six863.kimmo.morphology
        
        nltk_lite.contrib.mit.six863.kimmo.pairs
        
        nltk_lite.contrib.mit.six863.kimmo.rules
      - nltk_lite.contrib.mit.six863.parse: Classes and interfaces for producing tree structures that represent the internal organization of a text.
        
        nltk_lite.contrib.mit.six863.parse.cfg: Basic data classes for representing context free grammars.
        
        nltk_lite.contrib.mit.six863.parse.chart
        
        nltk_lite.contrib.mit.six863.parse.featurelite: This module provides utilities for treating Python dictionaries as feature structures.
        
        nltk_lite.contrib.mit.six863.parse.tree
        
        nltk_lite.contrib.mit.six863.parse.treeview
      - nltk_lite.contrib.mit.six863.semantics: Classes and interfaces for producing tree structures that represent the internal organization of a text.
        
        nltk_lite.contrib.mit.six863.semantics.cfg: Basic data classes for representing context free grammars.
        
        nltk_lite.contrib.mit.six863.semantics.chart
        
        nltk_lite.contrib.mit.six863.semantics.featurelite: This module provides utilities for treating Python dictionaries as feature structures.
        
        nltk_lite.contrib.mit.six863.semantics.logic
        
        nltk_lite.contrib.mit.six863.semantics.tree
        
        nltk_lite.contrib.mit.six863.semantics.treeview
  - nltk_lite.contrib.paradigmquery
  - nltk_lite.contrib.toolbox
    - nltk_lite.contrib.toolbox.data: module for reading Toolbox data files
    - nltk_lite.contrib.toolbox.errors: This module provides Shoebox exceptions.
    - nltk_lite.contrib.toolbox.language: This module provides functionality for reading language settings files for Toolbox.
    - nltk_lite.contrib.toolbox.lexicon: This modules provides functionality for parsing and manipulating the contents of a Toolbox lexicon without reference to its metadata.
    - nltk_lite.contrib.toolbox.settings: This module provides functionality for reading settings files for Toolbox.
    - nltk_lite.contrib.toolbox.text: This module provides tools for parsing and manipulating the contents of a Shoebox text without reference to its metadata.
    - nltk_lite.contrib.toolbox.utilities: This module provides basic functionality for handling shoebox format files.
  - nltk_lite.contrib.tree: This module defines three classes, extending the xml.etree.ElementTree module:
- nltk_lite.corpora
  - nltk_lite.corpora.brown: Read tokens from the Brown Corpus.
  - nltk_lite.corpora.chat80: Chat-80 was a natural language system which allowed the user to interrogate a Prolog knowledge base in the domain of world geography.
  - nltk_lite.corpora.cmudict: The Carnegie Mellon Pronouncing Dictionary [cmudict.0.6] ftp://ftp.cs.cmu.edu/project/speech/dict/ Copyright 1998 Carnegie Mellon University
  - nltk_lite.corpora.conll2000: Read chunk structures from the CONLL-2000 Corpus
  - nltk_lite.corpora.conll2002: Read Named Entity tagged data as chunk structures from the CONLL-2002 Corpus
  - nltk_lite.corpora.genesis: The Genesis Corpus.
  - nltk_lite.corpora.gutenberg: Read tokens from the NLTK Gutenberg Corpus.
  - nltk_lite.corpora.ieer: Corpus reader for the Information Extraction and Entity Recognition Corpus.
  - nltk_lite.corpora.inaugural: C-Span Inaugural Address Corpus
  - nltk_lite.corpora.indian: Indian Language POS-Tagged Corpus Collected by A Kumaran, Microsoft Research, India Distributed with permission
  - nltk_lite.corpora.names: Names Corpus, Version 1.3 (1994-03-29) Copyright (C) 1991 Mark Kantrowitz Additions by Bill Ross
  - nltk_lite.corpora.ppattach: Read lines from the Prepositional Phrase Attachment Corpus.
  - nltk_lite.corpora.senseval: Read from the Senseval 2 Corpus.
  - nltk_lite.corpora.shakespeare: Read from the Shakespeare XML Corpus Sample
  - nltk_lite.corpora.sinica_treebank
  - nltk_lite.corpora.state_union: C-Span State of the Union Address Corpus
  - nltk_lite.corpora.stopwords: Read tokens from the Stopwords Corpus.
  - nltk_lite.corpora.timit: Read tokens, phonemes and audio data from the NLTK TIMIT Corpus.
  - nltk_lite.corpora.toolbox: Module for reading, writing and manipulating Toolbox databases.
  - nltk_lite.corpora.treebank
  - nltk_lite.corpora.udhr: Read tokens from UDHR Corpus
  - nltk_lite.corpora.web: Read tokens from a webpage
  - nltk_lite.corpora.words: Read tokens from the Wordlist Corpus.
  - nltk_lite.corpora.ycoe: Reads tokens from the York-Toronto-Helsinki Parsed Corpus of Old English Prose (YCOE), a 1.5 million word syntactically- annotated corpus of Old English prose texts.
- nltk_lite.detect: Functions for detecting a token's features.
- nltk_lite.draw: Tools for graphically displaying and interacting with the objects and processing classes defined by the Toolkit.
  - nltk_lite.draw.cfg': Visualization tools for CFGs.
  - nltk_lite.draw.chart: A graphical tool for exploring chart parsing.
  - nltk_lite.draw.dispersion: A utility for displaying lexical dispersion.
  - nltk_lite.draw.plot: A simple tool for plotting functions.
  - nltk_lite.draw.rdparser: A graphical tool for exploring the recursive descent parser.
  - nltk_lite.draw.srparser: A graphical tool for exploring the shift/reduce parser.
  - nltk_lite.draw.tree': Graphically display a Tree.
- nltk_lite.etree
  - nltk_lite.etree.ElementInclude
  - nltk_lite.etree.ElementPath
  - nltk_lite.etree.ElementTree
- nltk_lite.evaluate: Utility functions for evaluating processing modules.
- nltk_lite.featurestructure: Basic data classes for representing feature structures.
- nltk_lite.misc
  - nltk_lite.misc.chomsky
  - nltk_lite.misc.sort: This module provides a variety of list sorting algorithms, to illustrate the many different algorithms (recipes) for solving a problem, and how to analyze algorithms experimentally.
  - nltk_lite.misc.wordfinder
- nltk_lite.model
- nltk_lite.parse: Classes and interfaces for producing tree structures that represent the internal organization of a text.
  - nltk_lite.parse.category
  - nltk_lite.parse.cfg: Basic data classes for representing context free grammars.
  - nltk_lite.parse.chart: Data classes and parser implementations for "chart parsers", which use dynamic programming to efficiently parse a text.
  - nltk_lite.parse.featurechart: Extension of chart parsing implementation to handle grammars with feature structures as nodes.
  - nltk_lite.parse.generate
  - nltk_lite.parse.grammarfile: A module to read a grammar from a *.cfg file.
  - nltk_lite.parse.pcfg
  - nltk_lite.parse.pchart: Classes and interfaces for associating probabilities with tree structures that represent the internal organization of a text.
  - nltk_lite.parse.rd
  - nltk_lite.parse.sr
  - nltk_lite.parse.tree: Class for representing hierarchical language structures, such as syntax trees and morphological trees.
  - nltk_lite.parse.treetransforms: A collection of methods for tree (grammar) transformations used in parsing natural language.
  - nltk_lite.parse.viterbi
- nltk_lite.probability
- nltk_lite.semantics: This package contains classes for representing semantic structure in formulas of first-order logic and for evaluating such formulas in set-theoretic models.
  - nltk_lite.semantics.evaluate: This module provides data structures for representing first-order models.
  - nltk_lite.semantics.logic: A version of first order logic, built on top of the untyped lambda calculus.
  - nltk_lite.semantics.utilities: Utility functions for batch-processing sentences: parsing and extraction of the semantic representation of the root node of the the syntax tree, followed by evaluation of the semantic representation in a first-order model.
- nltk_lite.stem: Interfaces used to remove morphological affixes from words, leaving only the word stem.
  - nltk_lite.stem.lancaster: A word stemmer based on the Lancaster stemming algorithm.
  - nltk_lite.stem.porter: Porter Stemming Algorithm
  - nltk_lite.stem.regexp
- nltk_lite.tag: Classes and interfaces for tagging each token of a document with supplementary information, such as its part of speech or its WordNet synset tag.
  - nltk_lite.tag.brill: Brill's transformational rule-based tagger.
  - nltk_lite.tag.hmm: Hidden Markov Models (HMMs) largely used to assign the correct label sequence to sequential data or assess the probability of a given label and data sequence.
  - nltk_lite.tag.ngram: Classes and interfaces for tagging each token of a document with supplementary information, such as its part of speech or its WordNet synset tag.
  - nltk_lite.tag.unigram: Classes and interfaces for tagging each token of a document with supplementary information, such as its part of speech or its WordNet synset tag.
- nltk_lite.test: Unit tests for the NLTK modules.
  - nltk_lite.test.doctest_driver: A driver for testing interactive python examples in text files and docstrings.
- nltk_lite.tokenize: Functions for tokenizing text.
  - nltk_lite.tokenize.regexp': Functions for tokenizing a text, based on a regular expression which matches tokens or gaps.
  - nltk_lite.tokenize.sexpr'
  - nltk_lite.tokenize.simple: Functions for tokenizing a text, based on a regular expression which matches tokens or gaps.
- nltk_lite.utilities
- nltk_lite.yamltags
re: Support for regular expressions (RE).
sre_compile: Internal support module for sre
sre_constants: Internal support module for sre
sre_parse: Internal support module for sre
string: A collection of string operations (most are no longer used).
sys: This module provides access to some objects used or maintained by the interpreter and to functions that interact strongly with the interpreter.
types: Define names for all type symbols known in the standard interpreter.