- nltk.align
- nltk.app: Interactive NLTK Applications:
- nltk.ccg: Combinatory Categorial Grammar.
- nltk.chat: A class for simple chatbots.
- nltk.chunk: Classes and interfaces for identifying non-overlapping linguistic
groups (such as base noun phrases) in unrestricted text.
- nltk.classify: Classes and interfaces for labeling tokens with category labels (or
class
labels).
- nltk.cluster: This module contains a number of basic clustering algorithms.
- nltk.collocations: Tools to identify collocations --- words that often appear
consecutively --- within corpora.
- nltk.compat: Backwards compatibility with previous versions of Python.
- nltk.containers
- nltk.corpus: NLTK corpus readers.
- nltk.data: Functions to find and load NLTK resource
files, such as corpora, grammars, and saved processing objects.
- nltk.decorators: Decorator module by Michele Simionato <michelesimionato@libero.it>
Copyright Michele Simionato, distributed under the terms of the BSD License (see below).
- nltk.downloader: The NLTK corpus and module downloader.
- nltk.draw
- nltk.etree
- nltk.evaluate: Utility functions for evaluating processing modules.
- nltk.examples
- nltk.featstruct: Basic data classes for representing feature structures, and for
performing basic operations on those feature structures.
- nltk.grammar: Basic data classes for representing context free grammars.
- nltk.help: Provide structured access to documentation.
- nltk.inference: Classes and interfaces for theorem proving and model building.
- nltk.internals
- nltk.lazyimport: Helper to enable simple lazy module import.
- nltk.metrics: Classes and methods for scoring processing modules.
- nltk.misc
- nltk.model
- nltk.olac
- nltk.parse: Classes and interfaces for producing tree structures that represent
the internal organization of a text.
- nltk.probability
- nltk.sem: This package contains classes for representing semantic structure
in formulas of first-order logic and for evaluating such formulas
in set-theoretic models.
- nltk.sourcedstring: X{Sourced strings} are strings that are annotated with information
about the location in a document where they were originally found.
- nltk.stem: Interfaces used to remove morphological affixes from words, leaving
only the word stem.
- nltk.tag: Classes and interfaces for tagging each token of a sentence with
supplementary information, such as its part of speech.
- nltk.tag.api: Interface for tagging each token in a sentence with supplementary
information, such as its part of speech.
- nltk.tag.brill: Brill's transformational rule-based tagger.
- nltk.tag.crf: An interface to Mallet's Linear Chain Conditional Random Field
(LC-CRF) implementation.
- nltk.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.tag.hunpos: A module for interfacing with the HunPos open-source POS-tagger.
- nltk.tag.sequential: Classes for tagging sentences sequentially, left to right.
- nltk.tag.simplify
- nltk.tag.stanford: A module for interfacing with the Stanford POS-tagger.
- nltk.tag.tnt: Implementation of 'TnT - A Statisical Part of Speech Tagger' by
Thorsten Brants
- nltk.tag.util
- nltk.test: Unit tests for the NLTK modules.
- nltk.text: This module brings together a variety of NLTK functionality for
text analysis, and provides simple, interactive interfaces.
- nltk.tokenize: Functions for tokenizing, i.e., dividing text strings into
substrings.
- nltk.toolbox: Module for reading, writing and manipulating Toolbox databases and
settings files.
- nltk.toolbox.toolbox: Module for reading, writing and manipulating Toolbox databases and
settings files.
- nltk.tree: Class for representing hierarchical language structures, such as
syntax trees and morphological trees.
- nltk.treetransforms: A collection of methods for tree (grammar) transformations used in
parsing natural language.
- nltk.util
- nltk.yamltags
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