漫谈四种神经网络序列解码模型以及示例代码

for s_index, tar_tmp in enumerate(tar_list):

for t_index, token in enumerate(tar_tmp):

Y[s_index, t_index, word_idx[token]] = 1

return pad_sequences(x_set, maxlen=input_maxlen), Y

def tokenize(sent):

”’Return the tokens of a sentence including punctuation.

>>> tokenize(‘Bob dropped the apple. Where is the apple?’)

['Bob', 'dropped', 'the', 'apple', '.', 'Where', 'is', 'the', 'apple', '?']

”’

return [x.strip() for x in re.split('(\W )?', sent) if x.strip()]

def main():

input_text = ['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']

tar_text = ['one two three four five'

, 'six seven eight nine ten'

, 'eleven twelve thirteen fourteen fifteen'

, 'sixteen seventeen eighteen nineteen twenty'

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