ML stands for machine learning and NLP stands for Natural Language Procession. These are both products of artificial intelligence. When we talk about an AI grammar checker, there is a pretty high chance that it is utilizing these technologies to check for grammar mistakes.

In this article, we will learn how both of these technologies work in an AI grammar checker and how that helps the grammar checker to perform better than its non-AI contemporaries. At the end of this article, you will be more informed as to what is the benefit of AI in grammar checkers and how they become more efficient with NLP and ML.

Role of NLP in Grammar Checkers

So here is a little background information about computers and understanding human language. Computer systems are not capable of understanding natural language. Natural language is the language that humans speak.

Computer systems are only capable of understanding binary states of 1 and 0. For them to understand that they are receiving human language inputs, they need a translation layer. This is achieved by assembly language. It is an intermediate language that is easy to translate into binary, and conversely, it is easy to translate code into assembly language.

However, with NLP, this barrier has been largely removed. With NLP computers can understand and parse natural language and understand its intricacies such as grammar rules, context, and semantics.

Now that is all well and good, so let’s check out the simplified process of NLP and how it works.

NLP Process in Grammar Checkers

When a text is understood via NLP the following processes occur:

  • The text is broken down into small components called tokens in a process known as tokenization. A token can have different sizes depending on the implemented algorithm.
  • The individual words are recognized and assigned their respective parts of speech. For example, names will be tagged as nouns, actions as verbs, etc., etc.
  • Then complete sentences are recognized and checked to see if they are grammatically coherent and have a sensible meaning.
  • Any grammar inconsistencies are flagged and a possible correction is also provided.

The rules of grammar are already a part of the NLP library that is being used. That’s how grammar checkers like Editpad, Quillbot, or Grammarcheck are able to determine whether there are mistakes in the text or not. If these AI grammar-checking tools find any mistakes in the text, they will highlight them and provide the right suggestion for correction.

So how does Machine learning come into the mix?

Role of Machine Learning in AI Grammar Checker

Machine learning is the driving technology behind NLP. So if a grammar-checking tool is using NLP it is technically using machine learning. Machine learning algorithms enable a computer system to learn how to recognize certain patterns in a given data set.

The given data is completely known, and the computer’s results are tweaked if it seems to be learning wrongly. Once the learning is complete, the system can find the learned patterns in new data that it has never seen before.

A common example of this is when you train a system to recognize shapes by feeding it 1,000 images of different shapes. Then it becomes capable of recognizing the shapes in new pictures that it has never seen before. The same thing happens in grammar checkers. The system is fed a lot of grammatically correct text and it learns the patterns of correct grammar. The opposite is also done where it is taught incorrect grammar.

At the end of the learning process, the system is capable of recognizing both mistakes and correct usage of grammar. Then if it is fed an unknown passage of text it can recognize if there are any grammar errors in it or not.

Multiple online grammar checkers use ML in their algorithms to accurately find and correct grammar errors in the text in no time.


And that’s how ML and NLP work in AI grammar checkers. These advanced techniques allow AI grammar checkers to recognize advanced mistakes that are easy to miss. The use of these tools really helps out any writer who needs to proofread their work quickly.

To read more about AI and how it makes tools better visit our blog to read more informative articles like this one.