Let’s use a simple sentence that has two spelling mistakes: ‘sentencee’ and ‘checkk’.Īnd you should get: Sentence = 'This is a sentencee to checkk!' Step 2: Define a sentence to check spelling Unfortunately, we can’t pass the whole sentence into the checked, meaning that we will split the sentence into individual words, and perform the spell check. In order to check spelling of a sentence using Python, we will build on the program that we have built in the previous section. Check spelling of a sentence using Python Running this program with example word ‘appple’ should return: Spelling of "appple" is not correct!Ĭorrect spelling of "appple": "apple" (with 1.0 confidence). Program to check spelling of a word using PythonĬombining all of the above steps and adding some functionality, we can create a program to check spelling of a word using Python: You may receive multiple tuples (multiple suggestions for correct spellings).įor example if you ran the same code for the word ‘aple’, you would get: [('able', 0.5140664961636828),īecause the above misspelling can be a part of many misspelled words, you get more than one option for correct spelling, order by confidence. In our example, the spelling checker is 100% confident that the correct spelling is ‘apple’. spellcheck() method returns a tuple where the first element is the correct spelling suggestion, and the second element is confidence. Let’s use some word that has a spelling mistake like ‘appple’ and perform the spelling check on it. Word() is a simple word representation from the textblob library which has many useful methods, especially for checking the spelling. In this section we will explore how to check spelling of a word using Python. If you don’t have it installed, please open “Command Prompt” (on Windows) and install it using the following code: To continue following this tutorial we will need the following Python library: textblob. Using the modules from this article you can also build a spelling corrector program in Python. Using Python we can quickly and effectively check spelling of different words and sentences. The text that we use in these objects is prone to errors, misspellings, and so on. These include simple readme files that we add to our project repositories, or automation for sending emails, or something else. We often work with a lot of text objects in programming.
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