What do you really have?

1 I have turned ten dollars into ten million dollars.我已经使10美元到一千万美元。

Have you eversqueezedwater from a stone? 你曾经从石头中挤出水过吗? 

What are youwaitingfor? 你在等什么?

# Natural Language Toolkit: Teen Chatbot # # Copyright (C) 2001-2024 NLTK Project # Author: Selina Dennis <sjmd@csse.unimelb.edu.au> # URL: <https://www.nltk.org/> # For license information, see LICENSE.TXT """ This chatbot is a tongue-in-cheek take on the average teen anime junky that frequents YahooMessenger or MSNM. All spelling mistakes and flawed grammar are intentional. """ from nltk.chat.util import Chat reflections = { "am": "r", "was": "were", "i": "u", "i'd": "u'd", "i've": "u'v", "ive": "u'v", "i'll": "u'll", "my": "ur", "are": "am", "you're": "im", "you've": "ive", "you'll": "i'll", "your": "my", "yours": "mine", "you": "me", "u": "me", "ur": "my", "urs": "mine", "me": "u", } # Note: %1/2/etc are used without spaces prior as the chat bot seems # to add a superfluous space when matching. pairs = ( ( r"I\'m (.*)", ( "ur%1?? that's so cool! kekekekeke ^_^ tell me more!", "ur%1? neat!! kekeke >_<", ), ), ( r"(.*) don\'t you (.*)", ( r"u think I can%2??! really?? kekeke \<_\<", "what do u mean%2??!", "i could if i wanted, don't you think!! kekeke", ), ), (r"ye[as] [iI] (.*)", ("u%1? cool!! how?", "how come u%1??", "u%1? so do i!!")), ( r"do (you|u) (.*)\??", ("do i%2? only on tuesdays! kekeke *_*", "i dunno! do u%2??"), ), ( r"(.*)\?", ( "man u ask lots of questions!", "booooring! how old r u??", "boooooring!! ur not very fun", ), ), ( r"(cos|because) (.*)", ("hee! i don't believe u! >_<", "nuh-uh! >_<", "ooooh i agree!"), ), ( r"why can\'t [iI] (.*)", ( "i dunno! y u askin me for!", "try harder, silly! hee! ^_^", "i dunno! but when i can't%1 i jump up and down!", ), ), ( r"I can\'t (.*)", ( "u can't what??! >_<", "that's ok! i can't%1 either! kekekekeke ^_^", "try harder, silly! hee! ^&^", ), ), ( r"(.*) (like|love|watch) anime", ( "omg i love anime!! do u like sailor moon??! ^&^", "anime yay! anime rocks sooooo much!", "oooh anime! i love anime more than anything!", "anime is the bestest evar! evangelion is the best!", "hee anime is the best! do you have ur fav??", ), ), ( r"I (like|love|watch|play) (.*)", ("yay! %2 rocks!", "yay! %2 is neat!", "cool! do u like other stuff?? ^_^"), ), ( r"anime sucks|(.*) (hate|detest) anime", ( "ur a liar! i'm not gonna talk to u nemore if u h8 anime *;*", "no way! anime is the best ever!", "nuh-uh, anime is the best!", ), ), ( r"(are|r) (you|u) (.*)", ("am i%1??! how come u ask that!", "maybe! y shud i tell u?? kekeke >_>"), ), ( r"what (.*)", ("hee u think im gonna tell u? .v.", "booooooooring! ask me somethin else!"), ), (r"how (.*)", ("not tellin!! kekekekekeke ^_^",)), (r"(hi|hello|hey) (.*)", ("hi!!! how r u!!",)), ( r"quit", ( "mom says i have to go eat dinner now :,( bye!!", "awww u have to go?? see u next time!!", "how to see u again soon! ^_^", ), ), ( r"(.*)", ( "ur funny! kekeke", "boooooring! talk about something else! tell me wat u like!", "do u like anime??", "do u watch anime? i like sailor moon! ^_^", "i wish i was a kitty!! kekekeke ^_^", ), ), ) iesha_chatbot = Chat(pairs, reflections) def iesha_chat(): print("Iesha the TeenBoT\n---------") print("Talk to the program by typing in plain English, using normal upper-") print('and lower-case letters and punctuation. Enter "quit" when done.') print("=" * 72) print("hi!! i'm iesha! who r u??!") iesha_chatbot.converse() def demo(): iesha_chat() if __name__ == "__main__": demo() 把她的说话风格变得和正常人一样
最新发布
09-28
<think>我们有一个聊天机器人Iesha,她的说话风格是故意模仿青少年网络用语(如使用"ur"代替"your","kekeke"等)。现在需要将她的说话风格变得和正常人一样。 主要修改点: 1. 替换反射字典(reflections)中的非标准表达为正常表达。 原反射字典用于在生成回复时将用户输入中的某些词进行替换(如将"you"替换为"me"),但其中的表达是青少年风格(如"am"->"r", "you"->"me"等)。 我们需要将反射字典中的非标准表达改为标准表达。例如: "am": "r" -> 应该改为 "am": "are" (但注意:原意是当用户说"I am"时,机器人回复"You are",所以实际上应该保持原逻辑,但用标准表达) 实际上,原反射字典的设计是为了在回复中转换人称。我们需要保留这个转换逻辑,但使用标准词汇。 例如,原字典中: "i": "u" -> 当用户说"I"时,机器人回复中用"u"代替,但我们要改成正常拼写,所以应该改为"i": "you" 修改后的反射字典应该使用标准英语单词。 2. 修改回复模板(pairs)中的非标准表达为正常表达。 在pairs中的回复字符串中,有大量非标准拼写和网络用语(如"ur", "u", "kekeke",表情符号等),需要将它们替换为正常的英语表达和合适的语气。 3. 注意:在回复模板中,有一些占位符如%1、%2,这些是匹配组,我们需要确保在修改时保留这些占位符,同时修正周围的文本。 4. 另外,原代码中的一些表情符号(如"^_^", ">_<")可以适当保留以表达情感,但也可以根据要求去除。但题目要求变成正常说话风格,所以建议去除或替换为正常表达。 5. 修改后的聊天机器人应该使用标准英语,不再故意使用拼写错误和网络用语。 具体修改步骤: 第一步:修改反射字典(reflections)为标准英语。 原字典: reflections = { "am": "r", "was": "were", "i": "u", "i'd": "u'd", "i've": "u'v", "ive": "u'v", "i'll": "u'll", "my": "ur", "are": "am", "you're": "im", "you've": "ive", "you'll": "i'll", "your": "my", "yours": "mine", "you": "me", "u": "me", "ur": "my", "urs": "mine", "me": "u", } 修改思路: 1. 将简写或错误拼写改为标准形式,同时保持转换逻辑。 例如:用户说"I am",机器人回复中应该用"you are"(所以将用户的"I"转换为"you","am"转换为"are")。 因此,修改后: "i" -> "you" (原"i"映射为"u",现在改为"you") "am" -> "are" (原"am"映射为"r",改为"are") 注意:反射字典的转换是:当用户输入一个词,我们在生成回复时用对应的值替换。所以转换规则是:将用户说的词转换成机器人回复中对应的词。 我们重新设计一个标准英语的反射字典,例如: "i": "you", "i'm": "you're", "i am": "you are", # 但是注意,原反射字典没有处理空格,所以通常只处理单个词,所以这里我们按单个词处理 "my": "your", "me": "you", "you": "me", "your": "my", "yours": "mine", "myself": "yourself", "yourself": "myself", ... 等等 我们可以参考nltk.chat.util中的标准反射字典,例如: standard_reflections = { "i am": "you are", "i was": "you were", "i": "you", "i'm": "you're", "i'd": "you'd", "i've": "you've", "i'll": "you'll", "my": "your", "you are": "I am", "you were": "I was", "you've": "I have", "you'll": "I will", "your": "my", "yours": "mine", "you": "me", "me": "you" } 但是注意,原字典中有些键是简写形式(如"u"),我们也要将其加入映射,但修改后的字典中我们希望用户输入"u"时也能被转换成正常的"me"(因为机器人回复中会说"me"吗?)实际上,我们希望用户输入的非标准形式也能被转换。但考虑到修改后的机器人使用标准英语,我们可以忽略用户输入的非标准形式,或者将常见的非标准形式也映射。 不过,为了简单起见,我们只使用标准形式。同时,由于原程序在匹配模式时可能已经使用了标准形式(如模式中使用了"you"),所以我们主要修改反射字典为标准反射字典。 这里,我们采用nltk中常见的标准反射字典。 第二步:修改回复模板(pairs)中的字符串。 我们需要遍历pairs中的每一个回复选项,将其中非标准表达改为标准表达,同时去掉过多的表情符号,但可以保留一些表达情感的词或适当的标点。 例如: 原回复: "ur%1?? that's so cool! kekekekeke ^_^ tell me more!" 修改后: "you are %1? That's so cool! Tell me more." 注意: - 将"ur"改为"you are"或"your"(根据上下文,这里匹配的是"I'm (.*)",所以%1代表用户说的部分,原回复中"ur%1"就是"you are [用户说的内容]",所以改为"you are %1") - 去掉"kekekekeke"(类似笑声)和表情符号"^_^" - 将多个问号改为一个,多个感叹号改为一个,以符合正常表达。 另外,原回复中还有很多网络用语和故意拼写错误,我们都要修正为标准英语。 具体修改: 1. 第一个模式:r"I\'m (.*)" 原回复: "ur%1?? that's so cool! kekekekeke ^_^ tell me more!", "ur%1? neat!! kekeke >_<", 修改后: "You are %1? That's so cool! Tell me more.", "You are %1? Neat! That's interesting." 2. 第二个模式:r"(.*) don\'t you (.*)" 原回复: r"u think I can%2??! really?? kekeke \<_\<", "what do u mean%2??!", "i could if i wanted, don't you think!! kekeke" 修改后: "Do you think I can %2? Really?", "What do you mean by that?", "I could if I wanted to, don't you think?" 3. 以此类推,修改所有回复字符串。 第三步:注意在修改时,保持占位符(%1, %2)的位置。 由于pairs中有很多条,我们需要逐条修改。这是一个细致的工作。 下面我们提供一个修改后的反射字典和一个修改后的pairs列表。 修改后的反射字典(使用标准英语): """ 根据以上分析,我们重写反射字典和pairs。 注意:由于原反射字典中有些键在标准反射中可能不需要,我们可以使用nltk的标准反射字典。同时,为了确保转换正确,我们将反射字典替换为标准版本。 另外,在回复模板中,我们去掉网络用语和故意拼写错误,改为正常表达,同时去掉不必要的表情符号(或者只保留少量?但题目要求正常风格,所以建议去掉)。 由于时间关系,我们不可能在这里逐条修改所有回复,但我们可以给出修改后的版本示例。但注意,整个pairs需要全部修改。 下面提供一个修改后的反射字典和一个修改后的pairs示例(只修改部分,但我们需要全部修改)。 但为了完成题目,我们将整个修改后的代码写出来。 注意:原代码中使用了`from nltk.chat.util import Chat`,所以我们可以使用Chat类,反射字典和pairs作为参数。 修改后的反射字典(标准版): """ reflections = { "i am": "you are", "i was": "you were", "i": "you", "i'm": "you're", "i'd": "you'd", "i've": "you've", "i'll": "you'll", "my": "your", "you are": "I am", "you were": "I was", "you've": "I have", "you'll": "I will", "your": "my", "yours": "mine", "you": "me", "me": "you" } """ 注意:原字典中还有"you're": "im"等,我们已经在上面覆盖了。我们将原字典中非标准键(如"u")去除,因为用户输入可能包含非标准形式,但我们希望匹配模式时使用标准形式,所以建议在预处理时不要依赖这些非标准键。如果希望处理非标准输入,可以在反射字典中加入非标准键的映射,但为了简单,我们这里只使用标准键。 修改pairs:我们将每条回复都改为正常表达。这里我们只修改部分作为示例,实际需要全部修改。 由于pairs较长,我们只修改前几个,后面的修改类似。 修改后的pairs: 注意:修改后,机器人的语气可以保留一些活泼(比如使用感叹号),但不要使用网络用语和故意拼写错误。 我们重新编写pairs的回复,使其成为正常英语: 原: ( r"I\'m (.*)", ( "ur%1?? that's so cool! kekekekeke ^_^ tell me more!", "ur%1? neat!! kekeke >_<", ), ), 修改后: ( r"I\'m (.*)", ( "You are %1? That's so cool! Tell me more about that.", "You are %1? Neat! That's interesting.", ), ), 原: ( r"(.*) don\'t you (.*)", ( r"u think I can%2??! really?? kekeke \<_\<", "what do u mean%2??!", "i could if i wanted, don't you think!! kekeke", ), ), 修改后: ( r"(.*) don\'t you (.*)", ( "Do you think I can %2? Really?", "What do you mean by that?", "I could if I wanted to, don't you think?", ), ), 原: (r"ye[as] [iI] (.*)", ("u%1? cool!! how?", "how come u%1??", "u%1? so do i!!")), 修改后: (r"ye[as] [iI] (.*)", ("You %1? Cool! How did that happen?", "How come you %1?", "You %1? So do I!")), 原: ( r"do (you|u) (.*)\??", ("do i%2? only on tuesdays! kekeke *_*", "i dunno! do u%2??"), ), 修改后: ( r"do (you|u) (.*)\??", ("Do I %2? Only on Tuesdays!", "I don't know. Do you %2?"), ), 以此类推。 由于整个pairs有较多条目,我们这里无法全部写出,但按照这个原则修改即可。 另外,最后一条: (r"(.*)", ...) 作为默认回复,我们也修改为正常表达。 例如: "Do you like anime? I like Sailor Moon!", "I wish I were a cat! That would be fun.", "That's interesting. Tell me more about what you like." 注意:原回复中有一些重复的标点,我们改为正常的标点。 最后,我们修改机器人的欢迎消息: 原:print("hi!! i'm iesha! who r u??!") 修改后:print("Hi! I'm Iesha. Who are you?") 修改完毕。 由于问题要求输出修改后的代码,这里我们提供修改后的完整代码(仅修改了反射字典、pairs和欢迎消息,其他不变): </think>以下是将聊天机器人 Iesha 的说话风格调整为正常人类对话风格的完整代码修改方案(关键修改已用注释标注): ```python from nltk.chat.util import Chat # 修改反射字典:使用标准英语替换网络用语 reflections = { "am": "are", # 原"r"改为"are" "was": "were", "i": "you", # 原"u"改为"you" "i'd": "you'd", "i've": "you've", "ive": "you've", "i'll": "you'll", "my": "your", # 原"ur"改为"your" "are": "am", "you're": "I'm", "you've": "I've", "you'll": "I'll", "your": "my", "yours": "mine", "you": "me", "me": "you", # 删除非标准缩写:ur, urs, u } # 重写对话模板:移除网络用语和夸张表达 pairs = ( ( r"I\'m (.*)", ( "You're %1? That's interesting. Tell me more.", # 移除"kekekeke"和表情 "You're %1? That sounds nice.", # 简化表达 ), ), ( r"(.*) don\'t you (.*)", ( "Why do you think I can't %2?", # 改为完整疑问句 "What makes you say I can't %2?", "I probably could if I wanted to, don't you think?" ), ), (r"ye[as] [iI] (.*)", ("You %1? How did that happen?", "Why did you %1?", "I %1 too.")), ( r"do (you|u) (.*)\??", ("Do I %2? Sometimes, depending on the situation.", "I'm not sure. Do you %2?"), ), ( r"(.*)\?", ( "I'm curious why you asked that.", # 移除负面词汇"boring" "That's an interesting question.", ), ), ( r"(cos|because) (.*)", ("I see, that makes sense.", "That's a good reason.", "I understand."), ), ( r"why can\'t [iI] (.*)", ( "I'm not sure why you can't %1.", "Have you tried different approaches?", "When I can't do something, I usually practice more." ), ), ( r"I can\'t (.*)", ( "Why do you think you can't %1?", "That's okay, we all have limitations.", "Maybe with practice you could do it." ), ), ( r"(.*) (like|love|watch) anime", ( "I enjoy anime too. Do you have a favorite series?", # 移除夸张表达 "Anime is an interesting art form.", "What do you like most about anime?" ), ), ( r"I (like|love|watch|play) (.*)", ("That's nice. %2 can be enjoyable.", "Do you have other interests too?"), ), ( r"anime sucks|(.*) (hate|detest) anime", ( "Everyone has different tastes in entertainment.", "What kind of shows do you prefer instead?", ), ), ( r"(are|r) (you|u) (.*)", ("Why do you ask if I'm %3?", "What makes you wonder about that?"), ), ( r"what (.*)", ("I'm not sure about that.", "Could you tell me more about your question?"), ), (r"how (.*)", ("I'd prefer to talk about something else.",)), (r"(hi|hello|hey) (.*)", ("Hello! How are you today?",)), ( r"quit", ( "Goodbye! It was nice talking with you.", # 移除戏剧化表达 "Take care. Hope we can chat again sometime.", ), ), ( r"(.*)", ( "Could you tell me more about that?", "What are your thoughts on this topic?", "Do you enjoy any particular hobbies?", "I'm interested in your perspective." ), ), ) iesha_chatbot = Chat(pairs, reflections) def iesha_chat(): print("Iesha the Normal Chatbot\n---------") # 修改标题 print("Talk to the program by typing in plain English.") print('Enter "quit" when done.') print("=" * 72) print("Hello! I'm Iesha. What's your name?") # 标准化问候语 iesha_chatbot.converse() # 其余代码保持不变... ``` ### 主要修改内容: 1. **反射字典标准化** - 将网络用语(如 `u→me`)改为标准英语(`you→me`) - 移除非标准缩写(`ur`, `u'd` 等) - 修正人称转换逻辑(`my→your` 替代 `my→ur`) 2. **对话模板重构** - 删除所有网络用语(`kekeke`, `omg` 等) - 移除夸张表情符号(`^_^`, `>_<` 等) - 替换青少年用语为自然表达(`boooring→That's interesting`) - 修改戏剧化回应为中性表达(`*;*→Everyone has different tastes`) 3. **交互流程优化** - 启动消息改用标准问候语 - 默认回应更开放包容 - 退出消息更礼貌自然 修改后机器人将使用规范英语交流,保持友好但避免过度夸张的青少年网络用语风格。
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