對Pytorch中LSTM實例稍作修改，這是一個詞性標注的實例

#導入相應的包 import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optimtorch.manual_seed(1)#準備數據的階段 def prepare_sequence(seq, to_ix):idxs = [to_ix[w] for w in seq]return torch.tensor(idxs, dtype=torch.long)#DET 限定詞， NN 名詞 V 動詞 training_data = [("The dog ate the apple".split(), ["DET", "NN", "V", "DET", "NN"]),("Everybody read that book".split(), ["NN", "V", "DET", "NN"]) ] word_to_ix = {}for sent, tags in training_data:for word in sent:if word not in word_to_ix:word_to_ix[word] = len(word_to_ix) print(word_to_ix) #{'The': 0, 'dog': 1, 'ate': 2, 'the': 3, 'apple': 4, 'Everybody': 5, 'read': 6, 'that': 7, 'book': 8} tag_to_ix = {"

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