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### Imports
import stanza
import pandas as pd
import traceback
class StanzaSegmentizer:
##==========================================================================================================
"""
Definition of attributes
"""
__nlp_stanza = None
##==========================================================================================================
"""
Function: __init__
"""
def __init__(self):
try:
if self.__nlp_stanza == None:
print("Initializing stanza")
self.initialize_stanza()
except Exception as excMsg:
print(excMsg)
##==========================================================================================================
"""
Function: initialize_stanza
"""
def initialize_stanza(self):
try:
self.__nlp_stanza = stanza.Pipeline('en')
except Exception as excmsg:
print(f"An error happens in initialize_spacy(...) {traceback.format_exc()}.")
self.__nlp_stanza = None
return self.__nlp_stanza
##==========================================================================================================
"""
Function: segment_into_sentences
"""
def segment_into_sentences(self, src_text="", _format="str"):
intermediate_result = None
if isinstance(src_text, str):
intermediate_result = [s for s in (self.__nlp_stanza(src_text)).sentences]
elif isinstance(src_text, list):
intermediate_result = list()
for sent in src_text:
intermediate_result.extend([s for s in (self.__nlp_stanza(sent)).sentences])
if _format == "str":
sentences_new_doc = list()
for intsent in intermediate_result:
sentences_new_doc.append(intsent.text)
return sentences_new_doc
else:
return intermediate_result
##==========================================================================================================
##========================================================================================================== |