peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/nltk
/tree
/parsing.py
# Natural Language Toolkit: Text Trees | |
# | |
# Copyright (C) 2001-2023 NLTK Project | |
# Author: Edward Loper <[email protected]> | |
# Steven Bird <[email protected]> | |
# Peter Ljunglöf <[email protected]> | |
# Tom Aarsen <> | |
# URL: <https://www.nltk.org/> | |
# For license information, see LICENSE.TXT | |
import re | |
from nltk.tree.tree import Tree | |
###################################################################### | |
## Parsing | |
###################################################################### | |
def bracket_parse(s): | |
""" | |
Use Tree.read(s, remove_empty_top_bracketing=True) instead. | |
""" | |
raise NameError("Use Tree.read(s, remove_empty_top_bracketing=True) instead.") | |
def sinica_parse(s): | |
""" | |
Parse a Sinica Treebank string and return a tree. Trees are represented as nested brackettings, | |
as shown in the following example (X represents a Chinese character): | |
S(goal:NP(Head:Nep:XX)|theme:NP(Head:Nhaa:X)|quantity:Dab:X|Head:VL2:X)#0(PERIODCATEGORY) | |
:return: A tree corresponding to the string representation. | |
:rtype: Tree | |
:param s: The string to be converted | |
:type s: str | |
""" | |
tokens = re.split(r"([()| ])", s) | |
for i in range(len(tokens)): | |
if tokens[i] == "(": | |
tokens[i - 1], tokens[i] = ( | |
tokens[i], | |
tokens[i - 1], | |
) # pull nonterminal inside parens | |
elif ":" in tokens[i]: | |
fields = tokens[i].split(":") | |
if len(fields) == 2: # non-terminal | |
tokens[i] = fields[1] | |
else: | |
tokens[i] = "(" + fields[-2] + " " + fields[-1] + ")" | |
elif tokens[i] == "|": | |
tokens[i] = "" | |
treebank_string = " ".join(tokens) | |
return Tree.fromstring(treebank_string, remove_empty_top_bracketing=True) | |
# s = re.sub(r'^#[^\s]*\s', '', s) # remove leading identifier | |
# s = re.sub(r'\w+:', '', s) # remove role tags | |
# return s | |
__all__ = [ | |
"bracket_parse", | |
"sinica_parse", | |
] | |