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data_ptb.py
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data_ptb.py
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import os
import re
import pickle
import nltk
from nltk.corpus import ptb
word_tags = ['CC', 'CD', 'DT', 'EX', 'FW', 'IN', 'JJ', 'JJR', 'JJS', 'LS', 'MD', 'NN', 'NNS', 'NNP', 'NNPS', 'PDT',
'POS', 'PRP', 'PRP$', 'RB', 'RBR', 'RBS', 'RP', 'SYM', 'TO', 'UH', 'VB', 'VBD', 'VBG', 'VBN', 'VBP', 'VBZ',
'WDT', 'WP', 'WP$', 'WRB']
currency_tags_words = ['#', '$', 'C$', 'A$']
ellipsis = ['*', '*?*', '0', '*T*', '*ICH*', '*U*', '*RNR*', '*EXP*', '*PPA*', '*NOT*']
punctuation_tags = ['.', ',', ':', '-LRB-', '-RRB-', '\'\'', '``']
punctuation_words = ['.', ',', ':', '-LRB-', '-RRB-', '\'\'', '``', '--', ';', '-', '?', '!', '...', '-LCB-', '-RCB-']
file_ids = ptb.fileids()
train_file_ids = []
valid_file_ids = []
test_file_ids = []
rest_file_ids = []
train_lm_file_ids = []
P = re.compile("[-+]?\d*\.\d+|[-+]\d+|[-+]?\d*\,\d+|\d+|\d+:\d+")
PY = re.compile("\d+[%]?-[a-zA-Z]|\d+[%]?[a-zA-Z]|[-+]?\d*\.\d+[%]?-[a-zA-Z]|[-+]?\d*\.\d+[%]?[a-zA-Z]|[-+]?\d*\,\d+-[%]?[a-zA-Z]|[-+]?\d*\,\d+[%]?[a-zA-Z]")
PA = re.compile("\d+-\d+-\d+")
PB = re.compile("\d+\\\/\d+-[A-Za-z]|\d+\\\/\d+[A-Za-z]")
L = ["a310-300s", "747-100s", "747-400s", "45,000-$60,000", "767-300er", "747-400s"]
for id in file_ids:
if 'WSJ/00/WSJ_0000.MRG' <= id <= 'WSJ/24/WSJ_2499.MRG':
train_file_ids.append(id)
if 'WSJ/00/WSJ_0000.MRG' <= id <= 'WSJ/20/WSJ_2099.MRG':
train_lm_file_ids.append(id)
if 'WSJ/22/WSJ_2200.MRG' <= id <= 'WSJ/22/WSJ_2299.MRG':
valid_file_ids.append(id)
if 'WSJ/23/WSJ_2300.MRG' <= id <= 'WSJ/23/WSJ_2399.MRG':
test_file_ids.append(id)
# elif 'WSJ/00/WSJ_0000.MRG' <= id <= 'WSJ/01/WSJ_0199.MRG' or 'WSJ/24/WSJ_2400.MRG' <= id <= 'WSJ/24/WSJ_2499.MRG':
# rest_file_ids.append(id)
class Dictionary(object):
def __init__(self):
self.word2idx = {'<unk>': 0}
self.idx2word = ['<unk>']
self.word2frq = {}
def add_word(self, word):
if word not in self.word2idx:
self.idx2word.append(word)
self.word2idx[word] = len(self.idx2word) - 1
if word not in self.word2frq:
self.word2frq[word] = 1
else:
self.word2frq[word] += 1
return self.word2idx[word]
def __len__(self):
return len(self.idx2word)
def __getitem__(self, item):
if item in self.word2idx:
return self.word2idx[item]
else:
return self.word2idx['<unk>']
def rebuild_by_freq(self, thd=3):
self.word2idx = {'<unk>': 0}
self.idx2word = ['<unk>']
for k, v in self.word2frq.items():
if v >= thd and (not k in self.idx2word):
self.idx2word.append(k)
self.word2idx[k] = len(self.idx2word) - 1
print('Number of words:', len(self.idx2word))
return len(self.idx2word)
class Corpus(object):
def __init__(self, path):
dict_file_name = os.path.join(path, 'dict.pkl')
if False and os.path.exists(dict_file_name):
self.dictionary = pickle.load(open(dict_file_name, 'rb'))
else:
self.dictionary = Dictionary()
self.add_words(train_file_ids)
self.dictionary.rebuild_by_freq()
pickle.dump(self.dictionary, open(dict_file_name, 'wb'))
self.train, self.train_sens, self.train_trees, self.train_nltktrees = self.tokenize(train_file_ids)
self.test, self.test_sens, self.test_trees, self.test_nltktrees = self.tokenize(test_file_ids)
def filter_words(self, tree):
words = []
for w, tag in tree.pos():
if tag in word_tags:
w = w.lower()
w = re.sub('[0-9]+', 'N', w)
new_w = w
words.append(new_w)
return words
def filter_words_tag(self, tree):
words = []
for w, tag in tree.pos():
if tag in word_tags:
w = w.lower()
new_w = w
if tag in ["CD", "LS", "JJ", "NNP", "RB"] and re.match(P, w) and not re.match(PY, w) and not re.match(PB, w) or w == "%":
new_w = "N"
if w == "%":
new_w = "N"
if re.match(PA, w):
new_w = "N"
if re.match("\d+$", w):
new_w = "N"
if w in L:
new_w = w
words.append(new_w)
return words
def add_words(self, file_ids):
# Add words to the dictionary
for id in file_ids:
sentences = ptb.parsed_sents(id)
for sen_tree in sentences:
words = self.filter_words(sen_tree)
words = words + ['<eos>']
for word in words:
self.dictionary.add_word(word)
def tokenize(self, file_ids):
def tree2list(tree):
if isinstance(tree, nltk.Tree):
if tree.label() in word_tags:
w = tree.leaves()[0].lower()
w = re.sub('[0-9]+', 'N', w)
return w
else:
root = []
for child in tree:
c = tree2list(child)
if c != []:
root.append(c)
if len(root) > 1:
return root
elif len(root) == 1:
return root[0]
return []
sens_idx = []
sens = []
trees = []
nltk_trees = []
N = 0
for id in file_ids:
sentences = ptb.parsed_sents(id)
for sen_tree in sentences:
words = self.filter_words(sen_tree)
words = self.filter_words_tag(sen_tree)
words = words + ['<eos>']
sens.append(words)
idx = []
for word in words:
idx.append(self.dictionary[word])
sens_idx.append(idx)
trees.append(tree2list(sen_tree))
nltk_trees.append(sen_tree)
N += len(words)
return sens_idx, sens, trees, nltk_trees