1 #加法平滑技术(加1)
2 def additive_smoothing(data):
3 global sentence, d, probability_key_value
4 probability = 1 # 存储句子概率的中间变量。
5 output = data.split()
6 output.insert(0, "BOS")
7 output.append("EOS")
8 # 上面三行代码，对输入的句子进行处理。 例如：句子[ i am a student ]处理结果为['BOS','i','am','a','student','EOS']
9 for i in range(len(output) - 1):
10 sentence[output[i]] = output[i + 1] # 处理后格式：sentence{ BOS:i , i:am, am:a, a:student, student:EOS}
11 for j in range(len(output) - 1):
12 value =( 1+find(output[j], output[j + 1])) / (V+ d[output[j]])
13 probability_key_value[str(output[j]) + '-' + str(output[j + 1])] = value
14 print(probability_key_value)
15 probability *= value
16 sentence={}
17 probability_key_value={}
18 return probability
