在Algorithm Design Manual上,它说:
你们是否测试了两 trees吗? 某些特殊的图表非形态学案例,如树木和图表,则算得更快。 Perhaps 最重要的案例是发现树木中的异构体,这个问题产生于语言模式()和教化应用。 par树常常用来描述案文的结构;如果案文的底部结构相同,则两根树不会变形。
我只想给我一个例子,说明如何利用树木伊索吗.解决语言模式配对问题。 i.e. 我如何规划与树木吗morph问题相匹配的语言模式?
Normally, how do I construct a string or text as a tree and compare their identities?
成就
以英语为例,认为某些英文判决可以用以下树种来表述:
SENTENCE SENTENCE
/ /
PROPER NOUN VERB COMMON NOUN VERB
/ /
NAME ARTICLE NOUN
英文本中的“The dog barks”短语如下:
ARTICLE NOUN VERB
/ / /
The dog barks
COMMON NOUN
/
ARTICLE NOUN VERB
/ / /
The dog barks
SENTENCE
/
COMMON NOUN
/
ARTICLE NOUN VERB
/ / /
The dog barks
同一结构的另一句是“一页”。 树木的树冠以同样的形式,这意味着两根树的形态不会变形。 也就是说,尽管含义不同,但它们的逻辑结构与判决相同。
SENTENCE
/
COMMON NOUN
/
ARTICLE NOUN VERB
/ / /
A leaf falls
如果你无视实际的言辞,两根树也是一般形态的吗.,也是树木。
如案文所示,parsemoto是此处的关键概念。 par树(在某种程度上)代表一种案文的结构,它is/strong>。 从技术上讲,你可以使用你喜欢的任何树木算法,与树林合作。
Parse tree is an ordered, rooted tree that represents the syntactic structure of a string according to some formal grammar.
(Wikipedia article on 树林
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