如何从马尔可夫链输出创建段落？

Question

我想修改下面的脚本，这样它就可以根据脚本生成的句子随机数创建段落。换言之，在添加新行之前，连接一个随机数目的句子（如1-5）。在

脚本工作正常，但输出的是用换行符分隔的短句。我想把一些句子整理成段落。在

对最佳实践有什么想法吗？谢谢。在

"""
    from:  http://code.activestate.com/recipes/194364-the-markov-chain-algorithm/?in=lang-python
"""

import random;
import sys;

stopword = "\n" # Since we split on whitespace, this can never be a word
stopsentence = (".", "!", "?",) # Cause a "new sentence" if found at the end of a word
sentencesep  = "\n" #String used to seperate sentences


# GENERATE TABLE
w1 = stopword
w2 = stopword
table = {}

for line in sys.stdin:
    for word in line.split():
        if word[-1] in stopsentence:
            table.setdefault( (w1, w2), [] ).append(word[0:-1])
            w1, w2 = w2, word[0:-1]
            word = word[-1]
        table.setdefault( (w1, w2), [] ).append(word)
        w1, w2 = w2, word
# Mark the end of the file
table.setdefault( (w1, w2), [] ).append(stopword)

# GENERATE SENTENCE OUTPUT
maxsentences  = 20

w1 = stopword
w2 = stopword
sentencecount = 0
sentence = []

while sentencecount < maxsentences:
    newword = random.choice(table[(w1, w2)])
    if newword == stopword: sys.exit()
    if newword in stopsentence:
        print ("%s%s%s" % (" ".join(sentence), newword, sentencesep))
        sentence = []
        sentencecount += 1
    else:
        sentence.append(newword)
    w1, w2 = w2, newword

---

编辑01:

好吧，我已经拼凑了一个简单的“段落包装器”，它可以很好地将句子集合成段落，但是它扰乱了句子生成器的输出——例如，在其他问题中，我得到了第一个单词的过度重复。在

但是前提是合理的；我只需要弄清楚为什么句子循环的功能会受到段落循环的影响。如果您能看到问题，请告知：

^{pr2}$

---

编辑02:

根据下面的答案将sentence = []添加到elif语句中。也就是说

        elif newword in stopsentence:
            print ("%s%s" % (" ".join(sentence), newword), end=" ")
            sentence = [] # I have to be here to make the new sentence start as an empty list!!!
            sentencecount += 1 # increment the sentence counter

---

编辑03:

这是这个脚本的最后一次迭代。感谢格里夫帮我解决这个问题。我希望其他人能从中得到一些乐趣，我知道我会的。；）

仅供参考：有一个小的工件-有一个额外的段落末尾空间，如果您使用这个脚本，您可能需要清理。但是，除此之外，马尔可夫链文本生成的完美实现。在

###
#    usage: python markov_sentences.py < input.txt > output.txt
#    from:  http://code.activestate.com/recipes/194364-the-markov-chain-algorithm/?in=lang-python
###

import random;
import sys;

stopword = "\n" # Since we split on whitespace, this can never be a word
stopsentence = (".", "!", "?",) # Cause a "new sentence" if found at the end of a word
sentencesep  = "\n" #String used to seperate sentences


# GENERATE TABLE
w1 = stopword
w2 = stopword
table = {}

for line in sys.stdin:
    for word in line.split():
        if word[-1] in stopsentence:
            table.setdefault( (w1, w2), [] ).append(word[0:-1])
            w1, w2 = w2, word[0:-1]
            word = word[-1]
        table.setdefault( (w1, w2), [] ).append(word)
        w1, w2 = w2, word
# Mark the end of the file
table.setdefault( (w1, w2), [] ).append(stopword)

# GENERATE SENTENCE OUTPUT
maxsentences  = 20

w1 = stopword
w2 = stopword
sentencecount = 0
sentence = []
paragraphsep = "\n"
count = random.randrange(1,5)

while sentencecount < maxsentences:
    newword = random.choice(table[(w1, w2)]) # random word from word table
    if newword == stopword: sys.exit()
    if newword in stopsentence:
        print ("%s%s" % (" ".join(sentence), newword), end=" ")
        sentence = []
        sentencecount += 1 # increment the sentence counter
        count -= 1
        if count == 0:
            count = random.randrange(1,5)
            print (paragraphsep) # newline space
    else:
        sentence.append(newword)
    w1, w2 = w2, newword


# EOF

Answer 1

你需要复制

sentence = [] 

回到

^{pr2}$

条款。在

所以

while paragraphs < maxparagraphs: # start outer loop, until maxparagraphs is reached
    w1 = stopword
    w2 = stopword
    stopsentence = (".", "!", "?",)
    sentence = []
    sentencecount = 0 # reset the inner 'while' loop counter to zero
    maxsentences = random.randrange(1,5) # random sentences per paragraph

    while sentencecount < maxsentences: # start inner loop, until maxsentences is reached
        newword = random.choice(table[(w1, w2)]) # random word from word table
        if newword == stopword: sys.exit()
        elif newword in stopsentence:
            print ("%s%s" % (" ".join(sentence), newword), end=" ")
            sentence = [] # I have to be here to make the new sentence start as an empty list!!!
            sentencecount += 1 # increment the sentence counter
        else:
            sentence.append(newword)
        w1, w2 = w2, newword
    print (paragraphsep) # newline space
    paragraphs = paragraphs + 1 # increment the paragraph counter

编辑

这里有一个不使用外部循环的解决方案。在

"""
    from:  http://code.activestate.com/recipes/194364-the-markov-chain-algorithm/?in=lang-python
"""

import random;
import sys;

stopword = "\n" # Since we split on whitespace, this can never be a word
stopsentence = (".", "!", "?",) # Cause a "new sentence" if found at the end of a word
sentencesep  = "\n" #String used to seperate sentences


# GENERATE TABLE
w1 = stopword
w2 = stopword
table = {}

for line in sys.stdin:
    for word in line.split():
        if word[-1] in stopsentence:
            table.setdefault( (w1, w2), [] ).append(word[0:-1])
            w1, w2 = w2, word[0:-1]
            word = word[-1]
        table.setdefault( (w1, w2), [] ).append(word)
        w1, w2 = w2, word
# Mark the end of the file
table.setdefault( (w1, w2), [] ).append(stopword)

# GENERATE SENTENCE OUTPUT
maxsentences  = 20

w1 = stopword
w2 = stopword
sentencecount = 0
sentence = []
paragraphsep == "\n\n"
count = random.randrange(1,5)

while sentencecount < maxsentences:
    newword = random.choice(table[(w1, w2)])
    if newword == stopword: sys.exit()
    if newword in stopsentence:
        print ("%s%s" % (" ".join(sentence), newword), end=" ")
        sentence = []
        sentencecount += 1
        count -= 1
        if count == 0:
            count = random.randrange(1,5)
            print (paragraphsep)
    else:
        sentence.append(newword)
    w1, w2 = w2, newword