In this shot, we will build an NLP engine that will correct the spellings of misspelled words.
We will use the Python package TextBlob to build this application. Install it using the following command:
`pip install textblob`
TextBlob is a Python library used to process text data. It provides a simple and consistent API that can perform common natural language processing tasks. These tasks include POS tagging, noun-phrase extraction, analyzing sentiments, classifying text, translating text, and much more.
Now, let’s move to the coding portion below.
from textblob import TextBlob misspelled_words = ["Natral", "Langage", "Procesing"] corrected_words =  for word in misspelled_words: corrected_words.append(TextBlob(word).correct()) print("Wrong words:", misspelled_words) print("Corrected Words:") for word in corrected_words: print(word, end=" ")
TextBlobobjects. (These objects are nothing but words converted to
TextBlobobject in that empty list.
TextBlobobject. We then use the
correct()method of the
TextBlobclass to convert the misspelled word into its correct form.
This is how you can write a Python program that corrects spelling using the
TextBlob library. This feature is convenient in Natural language processing tasks.
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