最大似然来计算转移概率的代码演示
时间: 2023-04-12 12:00:25 浏览: 43
以下是一个简单的最大似然算法来计算转移概率的代码演示:
```python
def calculate_transition_probabilities(corpus):
transition_probabilities = {}
for sentence in corpus:
for i in range(len(sentence)-1):
current_word = sentence[i]
next_word = sentence[i+1]
if current_word not in transition_probabilities:
transition_probabilities[current_word] = {}
if next_word not in transition_probabilities[current_word]:
transition_probabilities[current_word][next_word] = 0
transition_probabilities[current_word][next_word] += 1
for current_word in transition_probabilities:
total_count = sum(transition_probabilities[current_word].values())
for next_word in transition_probabilities[current_word]:
transition_probabilities[current_word][next_word] /= total_count
return transition_probabilities
```
请注意,这只是一个简单的示例,实际上,最大似然算法的实现可能会更加复杂。
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