def encode_sequences(tokenizer, length , lines):
    seq = tokenizer.text_to_sequences(lines)
    seq = pad_sequences(seq, maxlen = length, padding = 'posts')
    return seq
from sklearn.model_selection import train_test_split
train , test = train_test_split(deu_eng , test_size = 0.2, random_state = 12)
trainX = encode_sequences(deu_tokenizer, deu_length, train[:,1])
trainY = encode_sequences(eng_tokenizer, eng_length, train[:,0])
testX = encode_sequences(deu_tokenizer, deu_length, test[:,1])
testY = encode_sequences(eng_tokenizer, eng_length, test[:,0])

错误 :-AttributeError                            Traceback (most recent call last)
<ipython-input-29-0cb789025947> in <module>()
      7 train , test = train_test_split(deu_eng , test_size = 0.2, random_state = 12)
      8 ----> 9 trainX = encode_sequences(deu_tokenizer, deu_length, train[:,1])
     10 trainY = encode_sequences(eng_tokenizer, eng_length, train[:,0])
     11 <ipython-input-29-0cb789025947> in encode_sequences(tokenizer, length, lines)
      1 #model
      2 def encode_sequences(tokenizer, length , lines):
----> 3   seq = tokenizer.text_to_sequences(lines)
      4   seq = pad_sequences(seq, maxlen = length, padding = 'posts')
      5   return seq
AttributeError: 'Tokenizer' object has no attribute 'text_to_sequences'

回答：

我认为您拼错了texts_to_sequences属性。错误指出在以下行中找不到text_to_sequences方法：

seq = tokenizer.text_to_sequences(lines)

根据文档，您可以看到这个方法应该拼写为：

seq = tokenizer.texts_to_sequences(lines)

这样应该可以解决错误。