Source Code for Package nltk.wordnet

 1  # Natural Language Toolkit: Wordnet Interface 
 2  # 
 3  # Copyright (C) 2001-2008 NLTK Project 
 4  # Author: Oliver Steele <[email protected]> 
 5  #         Steven Bird <[email protected]> 
 6  #         David Ormiston Smith <[email protected]>> 
 7  # URL: <http://nltk.org> 
 8  # For license information, see LICENSE.TXT 
 9   
10  """ 
11  Wordnet interface, based on Oliver Steele's Pywordnet, together 
12  with an implementation of Ted Pedersen's Wordnet::Similarity package. 
13   
14  Usage 
15  ===== 
16   
17      >>> from nltk.wordnet import * 
18   
19  Retrieve words from the database 
20   
21      >>> N['dog'] 
22      dog (noun) 
23      >>> V['dog'] 
24      dog (verb) 
25      >>> ADJ['clear'] 
26      clear (adj) 
27      >>> ADV['clearly'] 
28      clearly (adv) 
29   
30  Examine a word's senses and pointers: 
31   
32      >>> N['dog'].synsets() 
33      [{noun: dog, domestic_dog, Canis_familiaris}, {noun: frump, dog}, {noun: dog}, {noun: cad, bounder, blackguard, dog, hound, heel}, {noun: frank, frankfurter, hotdog, hot_dog, dog, wiener, wienerwurst, weenie}, {noun: pawl, detent, click, dog}, {noun: andiron, firedog, dog, dog-iron}] 
34      ('dog' in {noun: dog, domestic dog, Canis familiaris}, 'dog' in {noun: frump, dog}, 'dog' in {noun: dog}, 'dog' in {noun: cad, bounder, blackguard, dog, hound, heel}, 'dog' in {noun: frank, frankfurter, hotdog, hot dog, dog, wiener, wienerwurst, weenie}, 'dog' in {noun: pawl, detent, click, dog}, 'dog' in {noun: andiron, firedog, dog, dog-iron}) 
35   
36  Extract the first sense: 
37   
38      >>> N['dog'][0] 
39      {noun: dog, domestic_dog, Canis_familiaris} 
40   
41  Get the first five pointers (relationships) from dog to other synsets: 
42   
43      >>> N['dog'][0].relations() 
44      {'hypernym': [('noun', 2083346, 0), ('noun', 1317541, 0)], 
45       'part holonym': [('noun', 2158846, 0)], 
46       'member meronym': [('noun', 2083863, 0), ('noun', 7994941, 0)], 
47       'hyponym': [('noun', 1322604, 0), ('noun', 2084732, 0), ...]} 
48   
49  Get those synsets of which 'dog' is a member meronym: 
50   
51      >>> N['dog'][0][MEMBER_MERONYM] 
52      [{noun: Canis, genus Canis}, {noun: pack}] 
53   
54  """ 
55   
56  from util import * 
57  from cache import * 
58  from lexname import * 
59  from dictionary import * 
60  from similarity import * 
61  from synset import * 
62  from browse import * 
63  from stemmer import * 
64