Grammarly is one of the best examples of applications that use Machine Learning for their business. Grammarly helps write a text for any purpose and uses Machine Learning to make that text more readable and engaging. So, if you want to know how Grammarly uses Machine Learning, this article is for you. In this article, I will introduce how Grammarly uses Machine Learning for its business.
Here’s How Grammarly Uses Machine Learning
Below are some ways how Grammarly uses Machine Learning for its business.
Predicting the Focus of the Reader
When a business shares an email or a text document with its customers, it is valuable that the customer goes through all the main points of the email or the text document. Grammarly uses machine learning and natural language processing techniques to draw attention where needed.
Grammarly is using Machine Learning and Natural Language Processing techniques in its reader’s attention model (a model that highlights all the high and low-attention sentences in different shades of green). So when writing a text, you can see which part of your text will grab more attention from the user. It helps businesses get more attention from their clients.
Text simplification means converting a complex text into a simplified one. Sometimes we use words that are not required or are complicated enough to make the reader read again to figure out what we want to convey. Text simplification helps in removing unnecessary words from a piece of text.
Grammarly uses its Text Simplification by Tagging model to simplify texts in real-time. When a user is writing, the model identifies if there are any complex words in the text. After identifying the words that make your text complex, it suggests different versions that sound much more simplified and engaging according to the context of your text. It helps in grabbing the attention of the user for a longer time.
Anyone who has used Grammarly at least once knows how Grammarly identifies grammatical errors in your text and replaces them with the correct version within no time. It is a basic functionality that helps people avoid grammatical mistakes in the text.
Grammarly’s Grammatical Error Correction system transforms a sentence with grammatical errors into a corrected version by identifying and correcting textual, spelling, punctuation, word choice, and other grammatical errors.
So these are some ways how Grammarly is using Machine Learning for its business.
So here are some ways how Grammarly is using Machine Learning:
- Grammarly uses machine learning and natural language processing techniques to draw attention where needed.
- Grammarly uses its Text Simplification by Tagging model to simplify texts in real-time.
- Grammarly identifies grammatical errors in your text and replaces them with the correct version within no time.
I hope you liked this article on how Grammarly use Machine Learning. Feel free to ask valuable questions in the comments section below.