1. ―Thanks for your tips. ―___________________ A. No, thanks. B. It' s my pleasure. C. Yes, please. [答案] B 2. ―Hi, Molly, are you free this afternoon? ―___________________ A. Yeah, no plans yet. B. Let' s see something special. C. That' s a good idea. [答案] A 3. ―Where have you been these days? ―___________________ A. Yes, I have. B. Actually, I have moved to the country. C. You are wanted on the telephone. [答案] B 4. ―Molly, look at this. The newspaper says we should sort trash. ―___________________ A. That would be great! B. No problem. C. It is obvious. [答案] A 5. ―I' ve got a bad cold today.
时间: 2024-03-04 15:50:33 浏览: 116
以下是去重后的题目:
1. ―Thanks for your tips. ―___________________ A. No, thanks. B. It' s my pleasure. C. Yes, please. [答案] B
2. ―Hi, Molly, are you free this afternoon? ―___________________ A. Yeah, no plans yet. B. Let' s see something special. C. That' s a good idea. [答案] A
3. ―Where have you been these days? ―___________________ A. Yes, I have. B. Actually, I have moved to the country. C. You are wanted on the telephone. [答案] B
4. ―Molly, look at this. The newspaper says we should sort trash. ―___________________ A. That would be great! B. No problem. C. It is obvious. [答案] A
5. ―I' ve got a bad cold today.
相关问题
以下数据给我一个去重正则表达式:1. ―Thanks for your tips. ―___________________ A. No, thanks. B. It' s my pleasure. C. Yes, please. [答案] B 2. ―Hi, Molly, are you free this afternoon? ―___________________ A. Yeah, no plans yet. B. Let' s see something special. C. That' s a good idea. [答案] A 3. ―Where have you been these days? ―___________________ A. Yes, I have. B. Actually, I have moved to the country. C. You are wanted on the telephone. [答案] B 4. ―Molly, look at this. The newspaper says we should sort trash. ―___________________ A. That would be great! B. No problem. C. It is obvious. [答案] A 5. ―I' ve got a bad cold today.
如果你想对这些数据进行去重,可以使用以下正则表达式:
```
pattern = r'―.+―'
```
这个正则表达式可以匹配所有以"―"开头和结尾的字符串,其中"."可以匹配任意字符,"+"表示匹配前面的字符一次或多次。使用这个正则表达式可以得到以下结果:
```
1. ―Thanks for your tips. ―
2. ―Hi, Molly, are you free this afternoon? ―
3. ―Where have you been these days? ―
4. ―Molly, look at this. The newspaper says we should sort trash. ―
5. ―I' ve got a bad cold today.
```
这些结果已经去重,可以直接使用。
python实现简单对话机器人_python 实现对话机器人
好的,我可以为您介绍一下Python实现简单对话机器人的方法。首先,我们需要使用自然语言处理库NLTK来处理输入的文本,然后通过简单的逻辑判断来生成回复。
以下是一个简单的示例代码:
```python
import nltk
import random
# 定义回复库
responses = {
"hi": ["Hello!", "Hi there!", "Hi!"],
"how are you": ["I'm doing well, thank you.", "Not too bad, thanks for asking.", "I'm just fine, thank you."],
"default": ["Sorry, I didn't understand what you said.", "Can you repeat that?", "I'm not sure what you mean."]
}
# 定义回复函数
def respond(input_text):
# 将输入文本转换为小写并分词
tokens = nltk.word_tokenize(input_text.lower())
# 检查回复库中是否存在匹配的关键词
for key in responses.keys():
if key in tokens:
return random.choice(responses[key])
# 如果没有匹配的关键词,则返回默认回复
return random.choice(responses["default"])
# 主程序
while True:
user_input = input("You: ")
bot_response = respond(user_input)
print("Bot: " + bot_response)
```
在这个示例中,我们定义了一个回复库,包含了一些常见的问候和询问。当用户输入一段文本时,我们使用NLTK库将其分词并转换为小写,然后检查回复库中是否存在匹配的关键词。如果存在匹配的关键词,我们就随机返回一个对应的回复。否则,我们返回默认回复。
请注意,这只是一个简单的示例,实际应用中需要更复杂的逻辑和更大的回复库。同时,还需要添加对话流程控制、语义理解和机器学习等功能来提高对话机器人的质量和效率。