File size: 1,575 Bytes
d39027f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from underthesea import word_tokenize
PUNCTUATIONS = ["''", "'", "``", "`", "-LRB-", "-RRB-", "-LCB-", "-RCB-", \
".", "?", "!", ",", ":", "-", "--", "...", ";"]
class VITokenizer:
def __init__(self):
self.model = word_tokenize
def tokenize(self, captions_for_image):
# ======================================================
# prepare data for PTB Tokenizer
# ======================================================
final_tokenized_captions_for_image = {}
image_id = [k for k, v in list(captions_for_image.items()) for _ in range(len(v))]
sentences = [c['caption'] for k, v in list(captions_for_image.items()) for c in v]
list_of_tokens = []
for sent in sentences:
doc = self.model(sent, format="text")
list_of_tokens.append(doc.lower())
# ======================================================
# create dictionary for tokenized captions
# ======================================================
for k, tokens in zip(image_id, list_of_tokens):
if not k in final_tokenized_captions_for_image:
final_tokenized_captions_for_image[k] = []
tokenized_caption = ' '.join([w for w in tokens.rstrip().split(' ') \
if w not in PUNCTUATIONS])
final_tokenized_captions_for_image[k].append(tokenized_caption)
return final_tokenized_captions_for_image |