python sentence splitter
>>> from nltk import tokenize
>>> p = "Good morning Dr. Adams. The patient is waiting for you in room number 3."
>>> tokenize.sent_tokenize(p)
['Good morning Dr. Adams.', 'The patient is waiting for you in room number 3.']python sentence splitter
>>> from nltk import tokenize
>>> p = "Good morning Dr. Adams. The patient is waiting for you in room number 3."
>>> tokenize.sent_tokenize(p)
['Good morning Dr. Adams.', 'The patient is waiting for you in room number 3.']python sentence splitter
# -*- coding: utf-8 -*-
import re
alphabets= "([A-Za-z])"
prefixes = "(Mr|St|Mrs|Ms|Dr)[.]"
suffixes = "(Inc|Ltd|Jr|Sr|Co)"
starters = "(Mr|Mrs|Ms|Dr|Hes|Shes|Its|Theys|Theirs|Ours|Wes|Buts|Howevers|Thats|Thiss|Wherever)"
acronyms = "([A-Z][.][A-Z][.](?:[A-Z][.])?)"
websites = "[.](com|net|org|io|gov)"
def split_into_sentences(text):
text = " " + text + " "
text = text.replace("n"," ")
text = re.sub(prefixes,"\1<prd>",text)
text = re.sub(websites,"<prd>\1",text)
if "Ph.D" in text: text = text.replace("Ph.D.","Ph<prd>D<prd>")
text = re.sub("s" + alphabets + "[.] "," \1<prd> ",text)
text = re.sub(acronyms+" "+starters,"\1<stop> \2",text)
text = re.sub(alphabets + "[.]" + alphabets + "[.]" + alphabets + "[.]","\1<prd>\2<prd>\3<prd>",text)
text = re.sub(alphabets + "[.]" + alphabets + "[.]","\1<prd>\2<prd>",text)
text = re.sub(" "+suffixes+"[.] "+starters," \1<stop> \2",text)
text = re.sub(" "+suffixes+"[.]"," \1<prd>",text)
text = re.sub(" " + alphabets + "[.]"," \1<prd>",text)
if "”" in text: text = text.replace(".”","”.")
if """ in text: text = text.replace("."","".")
if "!" in text: text = text.replace("!"",""!")
if "?" in text: text = text.replace("?"",""?")
text = text.replace(".",".<stop>")
text = text.replace("?","?<stop>")
text = text.replace("!","!<stop>")
text = text.replace("<prd>",".")
sentences = text.split("<stop>")
sentences = sentences[:-1]
sentences = [s.strip() for s in sentences]
return sentencespython split paragraph
text.split('nn')split string python
file='/home/folder/subfolder/my_file.txt'
file_name=file.split('/')[-1].split('.')[0]split paragraphs in python
result = list(filter(lambda x : x != '', text.split('nn')))Copyright © 2021 Codeinu
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