expansionnet-v2
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58 lines
1.8 KiB
58 lines
1.8 KiB
import re
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def compute_num_pads(list_bboxes):
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max_len = -1
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for bboxes in list_bboxes:
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num_bboxes = len(bboxes)
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if num_bboxes > max_len:
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max_len = num_bboxes
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num_pad_vector = []
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for bboxes in list_bboxes:
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num_pad_vector.append(max_len - len(bboxes))
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return num_pad_vector
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def remove_punctuations(sentences):
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punctuations = ["''", "'", "``", "`", ".", "?", "!", ",", ":", "-", "--", "...", ";"]
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res_sentences_list = []
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for i in range(len(sentences)):
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res_sentence = []
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for word in sentences[i].split(' '):
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if word not in punctuations:
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res_sentence.append(word)
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res_sentences_list.append(' '.join(res_sentence))
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return res_sentences_list
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def lowercase_and_clean_trailing_spaces(sentences):
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return [(sentences[i].lower()).rstrip() for i in range(len(sentences))]
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def add_space_between_non_alphanumeric_symbols(sentences):
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return [re.sub(r'([^\w0-9])', r" \1 ", sentences[i]) for i in range(len(sentences))]
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def tokenize(list_sentences):
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res_sentences_list = []
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for i in range(len(list_sentences)):
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sentence = list_sentences[i].split(' ')
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while '' in sentence:
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sentence.remove('')
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res_sentences_list.append(sentence)
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return res_sentences_list
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def convert_vector_word2idx(sentence, word2idx_dict):
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return [word2idx_dict[word] for word in sentence]
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def convert_allsentences_word2idx(sentences, word2idx_dict):
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return [convert_vector_word2idx(sentences[i], word2idx_dict) for i in range(len(sentences))]
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def convert_vector_idx2word(sentence, idx2word_list):
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return [idx2word_list[idx] for idx in sentence]
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def convert_allsentences_idx2word(sentences, idx2word_list):
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return [convert_vector_idx2word(sentences[i], idx2word_list) for i in range(len(sentences))]
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