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`
```

# What is 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.

# Code

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=" ")

Python3

# Explanation
* In line 1, we import our required package.
* In line 3, we define a list of words that are misspelled.
* In line 4, we define an empty list that will contain the `TextBlob` objects. (*These objects are nothing but words converted to `TextBlob`.*)
* In lines 6 and 7, we iterate over all the misspelled words and then store the corresponding `TextBlob` object in that empty list.
* In line 9, we print all the misspelled words in our list.
* In lines 12 and 13, we iterate over each `TextBlob` object. We then use the `correct()` method of the `TextBlob` class to convert the misspelled word into its correct form. 
* Finally, we print the correct word.

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.

dockerfile.tar.gz

How to build a spell corrector with Python

Install TextBlob in Python, import it, create misspelled word objects, use `correct()` to correct them.