本文整理汇总了Python中nltk.tree.Tree.remove方法的典型用法代码示例。如果您正苦于以下问题：Python Tree.remove方法的具体用法？Python Tree.remove怎么用？Python Tree.remove使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类nltk.tree.Tree的用法示例。
在下文中一共展示了Tree.remove方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: traverse
# 需要导入模块: from nltk.tree import Tree [as 别名]
# 或者: from nltk.tree.Tree import remove [as 别名]
def traverse(node):
def extract_tags(W):
pos = [W.getAttribute('lc') if W.getAttribute('lc') else None]
if W.getAttribute('clitic') in {'ezafe', 'pronominal', 'verb', 'prep', 'adv', 'det'}:
pos.append(W.getAttribute('clitic'))
if W.getAttribute('ne_sort'):
pos.append(W.getAttribute('ne_sort'))
if W.getAttribute('n_type'):
pos.append(W.getAttribute('n_type'))
if W.getAttribute('ya_type'):
pos.append(W.getAttribute('ya_type'))
if W.getAttribute('ke_type'):
pos.append(W.getAttribute('ke_type'))
if W.getAttribute('type'):
pos.append(W.getAttribute('type'))
if W.getAttribute('kind'):
pos.append(W.getAttribute('kind'))
return pos
def clitic_join(tree, clitic):
if type(tree[-1]) == Tree:
return clitic_join(tree[-1], clitic)
else:
if(clitic[0][0][0] == 'ا'):
clitic[0] = ('' + clitic[0][0], clitic[0][1])
tree[-1]=(tree[-1][0] + clitic[0][0], clitic[0][1])
tree.set_label('CLITICS')
return
if not len(node.childNodes):
return
first = node.childNodes[0]
if first.tagName == 'w':
pos=extract_tags(first)
return Tree(node.tagName, [(first.childNodes[0].data.replace('می ', 'می'), self._pos_map(pos))])
childs = node.childNodes[2:] if node.tagName == 'S' else node.childNodes
for child in childs:
if not len(child.childNodes):
childs.remove(child)
tree = Tree(node.tagName, map(traverse, childs))
if self._join_clitics and len(tree) > 1 and type(tree[1]) == Tree and tree[1].label() == 'CLITIC' and tree[1][0][1] not in {'P', 'V'}:
clitic=tree[-1]
tree = Tree(tree.label(), [subtree for subtree in tree[0]])
clitic_join(tree, clitic)
if self._join_verb_parts and len(tree) > 1 and type(tree[1]) == Tree and type(tree[0]) == Tree and tree[0].label() == 'AUX' and tree[0][0][0] in self._tokenizer.before_verbs:
tree[1][0] = (tree[0][0][0] + ' ' + tree[1][0][0], tree[1][0][1])
tree.remove(tree[0])
if self._join_verb_parts and len(tree.leaves()) > 1 and tree.leaves()[-1][0] in self._tokenizer.after_verbs and tree.leaves()[-2][0] in self._tokenizer.verbe :
tree[1][0] = (tree[0].leaves()[-1][0] + ' ' + tree[1][0][0], tree[1][0][1])
path = tree.leaf_treeposition(len(tree.leaves())-2)
removingtree = tree
while len(path) > 2 :
removingtree = removingtree[path[0]]
path = path[1:]
removingtree.remove(Tree(tree.pos()[-2][1],[tree.pos()[-2][0]]))
if self._join_verb_parts and len(tree.leaves()) > 1 and tree.leaves()[-1][0] in self._tokenizer.after_verbs and tree.leaves()[-2][0] in self._tokenizer.verbe :
tree[1][0] = (tree[0].leaves()[-1][0] + ' ' + tree[1][0][0], tree[1][0][1])
path = tree.leaf_treeposition(len(tree.leaves())-2)
removingtree = tree
while len(path) > 2 :
removingtree = removingtree[path[0]]
path = path[1:]
removingtree.remove(Tree(tree.pos()[-2][1],[tree.pos()[-2][0]]))
return tree