| 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): |
| |
| |
| |
| 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()) |
|
|
| |
| |
| |
| 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 |
