对Pytorch中LSTM实例稍作修改，这是一个词性标注的实例
#导入相应的包
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optimtorch.manual_seed(1)#准备数据的阶段
def prepare_sequence(seq, to_ix):idxs = [to_ix[w] for w in seq]return torch.tensor(idxs, dtype=torch.long)#DET 限定词， NN 名词 V 动词
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 = {"
)
实现))
实现))
