# Natural Language Toolkit: Some texts for exploration in chapter 1 of the book # # Copyright (C) 2001-2019 NLTK Project # Author: Steven Bird # # URL: # For license information, see LICENSE.TXT from nltk.corpus import ( gutenberg, genesis, inaugural, nps_chat, webtext, treebank, wordnet, ) from nltk.text import Text from nltk.probability import FreqDist from nltk.util import bigrams print("*** Introductory Examples for the NLTK Book ***") print("Loading text1, ..., text9 and sent1, ..., sent9") print("Type the name of the text or sentence to view it.") print("Type: 'texts()' or 'sents()' to list the materials.") text1 = Text(gutenberg.words("melville-moby_dick.txt")) print("text1:", text1.name) text2 = Text(gutenberg.words("austen-sense.txt")) print("text2:", text2.name) text3 = Text(genesis.words("english-kjv.txt"), name="The Book of Genesis") print("text3:", text3.name) text4 = Text(inaugural.words(), name="Inaugural Address Corpus") print("text4:", text4.name) text5 = Text(nps_chat.words(), name="Chat Corpus") print("text5:", text5.name) text6 = Text(webtext.words("grail.txt"), name="Monty Python and the Holy Grail") print("text6:", text6.name) text7 = Text(treebank.words(), name="Wall Street Journal") print("text7:", text7.name) text8 = Text(webtext.words("singles.txt"), name="Personals Corpus") print("text8:", text8.name) text9 = Text(gutenberg.words("chesterton-thursday.txt")) print("text9:", text9.name) def texts(): print("text1:", text1.name) print("text2:", text2.name) print("text3:", text3.name) print("text4:", text4.name) print("text5:", text5.name) print("text6:", text6.name) print("text7:", text7.name) print("text8:", text8.name) print("text9:", text9.name) sent1 = ["Call", "me", "Ishmael", "."] sent2 = [ "The", "family", "of", "Dashwood", "had", "long", "been", "settled", "in", "Sussex", ".", ] sent3 = [ "In", "the", "beginning", "God", "created", "the", "heaven", "and", "the", "earth", ".", ] sent4 = [ "Fellow", "-", "Citizens", "of", "the", "Senate", "and", "of", "the", "House", "of", "Representatives", ":", ] sent5 = [ "I", "have", "a", "problem", "with", "people", "PMing", "me", "to", "lol", "JOIN", ] sent6 = [ "SCENE", "1", ":", "[", "wind", "]", "[", "clop", "clop", "clop", "]", "KING", "ARTHUR", ":", "Whoa", "there", "!", ] sent7 = [ "Pierre", "Vinken", ",", "61", "years", "old", ",", "will", "join", "the", "board", "as", "a", "nonexecutive", "director", "Nov.", "29", ".", ] sent8 = [ "25", "SEXY", "MALE", ",", "seeks", "attrac", "older", "single", "lady", ",", "for", "discreet", "encounters", ".", ] sent9 = [ "THE", "suburb", "of", "Saffron", "Park", "lay", "on", "the", "sunset", "side", "of", "London", ",", "as", "red", "and", "ragged", "as", "a", "cloud", "of", "sunset", ".", ] def sents(): print("sent1:", " ".join(sent1)) print("sent2:", " ".join(sent2)) print("sent3:", " ".join(sent3)) print("sent4:", " ".join(sent4)) print("sent5:", " ".join(sent5)) print("sent6:", " ".join(sent6)) print("sent7:", " ".join(sent7)) print("sent8:", " ".join(sent8)) print("sent9:", " ".join(sent9))