How to use the pyknp.KNP function in pyknp
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ku-nlp / pyknp / pyknp / knp / simple.py View on Github 
#-*- encoding: utf-8 -*-
from __future__ import absolute_import
from pyknp import KNP
my_knp = KNP()
def knp(input_str):
return my_knp.parse(input_str)def __init__(self, text, delimiter='\n'):
"""
Args:
text (str)
delimiter (str)
"""
self.sentences = util.split_text(text, delimiter)
self.n_sentence = len(self.sentences)
self.parser = KNP(option=DefaultOptions.KNP)
self.rates = self._rates()def __init__(self, text: str, delimiter: str = '\n'):
self.text = text
self.delimiter = delimiter
self.sentences = util.split_text(self.text, delimiter)
self.n_sentences = len(self.sentences)
self.knp = KNP(option=DefaultOptions.KNP)
self.trees = self._trees()
self.juman = Juman()
self.rs_pos = self.calc_rs_pos()
self.n_mrphs = self.calc_n_mrphs()
self.n_chunks = self.calc_n_chunks()
self.n_types = self.calc_n_types()
self.mean_n_mrphs = None \
if self.n_sentences == 0 \
else self.n_mrphs / self.n_sentences
self.rs_modality = self.calc_rs_modality()
self.r_conditional = None \
if self.n_sentences == 0 \
else self.calc_n_conditionals() / self.n_sentences
self.mean_tree_depths = self.calc_mean_tree_depths()
