变异和重编码的句法是一种用于生成新的句子的技术。下面是一个示例解决方法，包含使用Python编写的代码示例：

1. 定义初始句子的语法和规则。

   grammar = """
   sentence -> noun_phrase verb_phrase
   noun_phrase -> determiner noun
   verb_phrase -> verb noun_phrase
   determiner -> "the" | "a"
   noun -> "cat" | "dog" | "bat" | "hat"
   verb -> "runs" | "eats" | "likes" | "hates"
   """
   

2. 使用nltk库解析语法并生成初始句子。

   import nltk
   
   def generate_sentence(grammar):
       parser = nltk.ChartParser(nltk.CFG.fromstring(grammar))
       for tree in parser.parse("sentence"):
           return ' '.join(tree.leaves())
   
   initial_sentence = generate_sentence(grammar)
   print("Initial sentence:", initial_sentence)
   

3. 定义变异和重编码规则。

   import random
   
   def mutate_sentence(sentence):
       words = sentence.split()
       index = random.randint(0, len(words) - 1)
       new_word = random.choice(["big", "small", "fast", "slow"])
       words[index] = new_word
       return ' '.join(words)
   
   def recombine_sentences(sentence1, sentence2):
       words1 = sentence1.split()
       words2 = sentence2.split()
       index = random.randint(0, len(words1) - 1)
       new_sentence = ' '.join(words1[:index] + words2[index:])
       return new_sentence
   

4. 应用变异和重编码规则生成新的句子。

   mutated_sentence = mutate_sentence(initial_sentence)
   print("Mutated sentence:", mutated_sentence)
   
   recombined_sentence = recombine_sentences(initial_sentence, mutated_sentence)
   print("Recombined sentence:", recombined_sentence)
   

这个示例演示了如何使用变异和重编码的句法生成新的句子。变异规则通过随机选择一个单词并替换为另一个单词来改变句子的一部分。重编码规则通过随机选择两个句子并在一个随机位置将它们合并起来生成一个新句子。可以根据需要定义更多的变异和重编码规则，以便在生成新句子时更加灵活。