Introduction To Programming

Step 1: False. The split() method, when called without arguments, splits a string based on whitespace, such as spaces, tabs, and newlines, not specifically on sentence endings like periods. To split a paragraph into sentences, you would typically need a more specialized approach that can recognize punctuation marks that end sentences, such as periods, question marks, and exclamation points. Tools like the Natural Language Toolkit (NLTK) in Python can be used for such tasks, which are more suited for parsing and handling natural language data. Step 2: Install NLTK If you haven't already installed the Natural Language Toolkit (NLTK), you can do so using pip: pip install nltk Importing Libraries You need to import the necessary parts of NLTK. For sentence tokenization, you can use the sent_tokenize function. import nltk from nltk.tokenize import sent_tokenize # Download the required resources for tokenization nltk.download('punkt') Define Your Paragraph You can define the paragraph as a string in Python. Here's an example: paragraph = "Hello world! Python is great for text processing. Let's split this into sentences." Tokenize the Paragraph into Sentences Use the sent_tokenize function to split the paragraph into sentences. sentences = sent_tokenize(paragraph) Print the Result Finally, you can print out the list of sentences. for sentence in sentences: print(sentence) Here's the complete script : import nltk from nltk.tokenize import sent_tokenize # Download the necessary NLTK resources nltk.download('punkt') # Define the paragraph paragraph = "Hello world! Python is great for text processing. Let's split this into sentences." # Tokenize the paragraph into sentences sentences = sent_tokenize(paragraph) # Print each sentence for sentence in sentences: print(sentence) Output SS: <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABYYAAAMiCAYAAADaSxe2AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAP+lSURBVHhe7N0JXBR1/wfwT56IoOu5aiqCB3lhamBZmJjkhVqKeaDlUVZaefWYWVpZmdYfzJ5HSxOxxCsxU1AzVArSFPJaT7wxr8ULAREV7D+/2d/CgsDucqwgn/fzmqeZ3292dq6Vne9+5zuPXL5y9V8QERERERERERERUalRRv6XiIiIiIiIiIiIiEoJBoaJiIiIiIiIiIiIShkGhomIiIiIiIiIiIhKGQaGiYiIiIiIiIiIiEoZBoaJiIiIiIiIiIiIShkGhomIiIiIiIqpRx55RI6ZV6ZMGavmJyIiotLtkbS0tH/lONnA4aPH0NilkZwiIiIiIiLKXVpaujKk4d69e7IlZ/ceKY+NZyrhk6hyuH5LNtJD5cI4HtgH6eSpM7yWJ6KHDgPDNsbAMBERERERWUMEhe/eTUN6erpsyapixYqoZFeR2cIPMV5HPngMDBPRw4ilJIiIiIiIiIoxUSKibNmycup+FStWYFCYiIiIrMbAMBERERERUTFXpkzOgV8REC7DoDARERHlAwPDRERERERExZzIGs7Jv//+y2xhIiIiyhcGhomIiIiIiIiIiIhKGQaGiYiIiIiIiIiIiEoZBoaJiIiIiIiIiIiIShkGhomIiIiIiIgeQteSUuUYERHR/R5JS0v7V47jTGIKfow9h7jkW7IFeNm1Pp6tV0NOUUEdPnoMjV0aySkiIiIiInqQrl69hr/+ipZTBk895YEaNarLqeIjJSXzOs1UNU1VOUYPq/xcRy7begg7D59Xx59s8Sj8nmupjlP+nDx1htfyRPTQyZIx3HX9TjUo/MPRfzKG59b9hT8uXJVz2Fb0rCqoPCvrlzQiIiIiIqKiEHv8BEI3/HpfoJiKP/3qoRiyWi+nCt+lS3r8unmLOuzbf0C2Fk8iS/ibn2Nw9UYK/vv28/hkeCe1XQSKj5+/ro4Xij0L0X2eTk5YQ4/NE6dgs/Fw5Xs5RERUUBmBYZEtnJs/zj+YwLDHlETcnOIhp0g4e/asHCMiIiIiooISmcE+Pt3RrFkTHDt2Qv3vw2b6u89h1dIZcqrwiGBsZYcqGcPsGNnxkBGB4NlfzZFTwObfim9wWASE54qgcFIqenQwnMvVHe3g8Vg9NXt4064T+OiHKLXdIvpNmNbzRXQ3DhM3oRBDy6UKr+WJqDhSA8MiKCwyhZ991FAy4pXHGqCRo706bpRX4Li0Er8aZyfacmovLNv/3I4Vy1fIKSIiIiIiKigREPaf8z9MmvAWXJs+fIHhGf+3Fb+H/1iowWERFHZZ3wenkhNxUwyxi7Df6+EKDovgr8gQFoHgOnW0stVAtBkziK1VVNeRm6JPoWn9GvjkFU/UcLSTrQYie1iUk3innzua1a+uzmueDgtH/IFngtbi142GYUXnPzCYweF84bU8ERVHZUZF7EeTZdvUkhGmJSTOJGUGgkXQWMzTJHibBWUl9Fg1bChWrf4q45dj9ZaemGzTRud/whDZLgbTLxJZbgcSr5/1k7Js47xfIdcbvO6bV1kftbSSWLds768sZbYyj7XEH23xq7HpH28xPuHd9+UUEREREREVd6ZB4YcxW9jo2x9PFGJwOBpLRgCLZ72EjHDpoy9hTuxxDK9nvD4yXGflfp33U2b/sJ+UKzUjwzWb8XVZSwvmvsz7mc5rvB60jri++2HpcrRxa60ORsZp0fd4m8x2SxTldeTxc1dRzaGiOi4CxCdMykacvJiA6o6V1PHGdTXqvGbpz+Ofx56Fh0lMvFqfWfg1oAeqyWnlgh6bJxozihfiiGw10GFhRraxSekIIiIqNsqIILClRLB41Lb9ciov6zHy5LMZvxxjRFNU3iqnk7egzYhJmYHaKevRN9b0V+Y8Ar6frQdmGeY9FbQfXnnVHzaZ92ZsH6xzFcvVYuA707Bu/R+ZXzxi/sCMF5V1tJL4xfi9/0zI+KNu/GMu2rL/mkxERERERMVT9qCwePCcKC1hC+LBd7ZUaMHh82ewH23g/KiclrSPatXBEJTtCkTI6zHlGhBeWYOz60bEwUvtS0REy1cxISMh6EeMbLlFvk7pQ1cZADa/zEzZ530HZ1ytDw5379YVdbS11f/mNIg+a6/9iuo6UtQPFuUjRABYaPJotSzB32PnrmUEjaOPXlDnFa/Jk7YdnsHCvDOEN/wBvCezid84hQkZtYJFUPgj5brcmG08BHEjGBwmIipusjx8LifZS0pYpg8WD5O1gR99Fn1fBKY/Z6wV7AGvD9fjzAUxrsXApcEYaPxCoc67H6dz+4P94TsZ82o79kHfQ2dMflnOxmRew3I/RYT4QuH+LKavjUOcoQf6M/v

Computer science

\ufeffIn Python, If a whole paragraph is included in a single string, the split

()

\ufeffmethod can be used to obtain a list of the sentences in the paragraph.

True

False

Answer

Student’s rating for this solution:

★ ★ ★ ★ ★ (5/5)

YOU HAVE TO REGISTER FOR ANSWER

Computer science

Computer science

Manu

Answer

Extracted Transcript from Images