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  1. Prepare
  2. Artificial Intelligence
  3. Natural Language Processing
  4. From Paragraphs to Sentences
  5. Discussions

From Paragraphs to Sentences

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60 Discussions

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  • rylinjones03
     + 0 comments

    AI Sigil: Elevating AI governance with automated tools for policy creation, audits, and legal documents. Ethics and compliance made simple. EU AI Act solutions

  • ericstricker73
     + 0 comments
    import re
s = input()


pattern = r'(?<!")([.?!])(?!")'
split_text = re.split(pattern, s)
#merge back the sentence + last character
merged_list = [split_text[i] + split_text[i + 1] for i in range(0, len(split_text) - 1, 2)]

#check for words <= 2 and anding on a fullstop. These are like Dr. Mr. Ms. etc and merge these back
new_text = []
do_continue = False
for i in range(len(merged_list) - 1):
    #print(i, "new_text: " , merged_list[i])
    if do_continue:
        do_continue = False
        continue
        
    if len(merged_list[i].strip()) <= 3 and merged_list[i][-1] == ".":
        new_text[-1] = new_text[-1] + " " + merged_list[i].strip()
        new_text[-1] = new_text[-1] + " " + merged_list[i+1].strip()
				#skip the next entry in the list
        do_continue = True
    else:
        new_text.append(merged_list[i])
        
for i in new_text:   
     print(i)

  • lirishsa44
     + 0 comments

    light

  • marta_f_gomez
     + 0 comments

    Hiden test case 0 and 1 error. But I can run it on Collab and here. Why?

    My code: input_text = input("Enter your text: ")

    def split_into_sentences(text): pattern = r'(?

  • vokije7768
     + 0 comments

    import re

    def split_sentences(text): # Define the regular expression pattern to match sentence boundaries pattern = r"""(?<=\w.)\s+"""

    # Split the text into sentences using the pattern
sentences = re.split(pattern, text)

# Clean up the sentences by removing leading and trailing whitespace and empty strings
sentences = [sentence.strip() for sentence in sentences if sentence.strip()]

# Handle sentences ending with common abbreviations (e.g., Dr., Mr., Mrs.)
sentences = [sentence[:-1] if sentence.endswith(".") and sentence[-2:] in [".D", ".M", ".M"] else sentence for sentence in sentences]

return sentences

    Get the input text from the user

    input_text = input("Enter your text: ")

    Split the text into sentences

    sentences = split_sentences(input_text)

    Print the sentences

    for sentence in sentences: print(sentence)