语言模型的训练与使用
1. 准备文本数据
在开始训练语言模型之前,我们需要对文本数据进行处理。以下是具体的步骤和代码:
def save_doc(lines, filename):
data = '\n'.join(lines)
file = open(filename, 'w')
file.write(data)
file.close()
# load document
in_filename = 'republic_clean.txt'
doc = load_doc(in_filename)
print(doc[:200])
# clean document
tokens = clean_doc(doc)
print(tokens[:200])
print('Total Tokens: %d' % len(tokens))
print('Unique Tokens: %d' % len(set(tokens)))
# organize into sequences of tokens
length = 50 + 1
sequences = list()
for i in range(length, len(tokens)):
# select sequence of tokens
seq = tokens[i-length:i]
# convert into a line
line = ' '.join(seq)
# store
sequences.append(line)
print('Total Sequences: %d' % len(sequ
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