There are numerous products that we use on a daily basis without realizing the fact that they are powered by NLP. Here are some of the most popular ones.
SIRI / ALEXA / CORTANA
Every leading tech giant has developed its own virtual assistant to provide a wholesome experience to the users. Alexa, Cortana, Siri, and Google Assistant are used extensively. These programs are not only able to control your smartphone, but also a vast number of compatible smart devices Air conditioners, Smart TVs, etc.
NLP is an essential part of these virtual assistants. It is used to detect, interpret, and understand the text or voice commands to perform the requested function. All of these assistants are continually evolving through AI and machine learning to expand the accuracy of their responses.
Grammarly has become one of, if not the most popular writing tool used by people all around the world. It is a fascinating tool that has the capability of suggesting different kinds of changes in your writing. Other than the spellings and grammar check, Grammarly can check the usage of Active and Passive voice, the tone of the document and suggest changes according to your writing goals.
It is quite understandable if you have wondered about the working mechanism of Grammarly. Contrary to popular belief that some kinds of writing robots are checking your work, AI and NLP are the primary driving forces behind Grammarly’s functions. It offers different types of features and options for checking one’s writing. Hence, Grammarly’s AI system is composed of a wide range of NLP algorithms that can deal with different writing styles and tones.
The entire machine learning system of Grammarly is quite remarkable. It is continuously being updated to become the best writing assistant available on the internet. NLP allows Grammarly to process English writing and perform various tasks on them to produce a thorough report. These tasks include writing improvement, readability scoring, sentiment analysis, and suggestions to use alternate words, phrases, and sentence structure.
Language translation is an important application of Natural Language Processing. It has saved organizations billions of dollars in terms of the effort and man-power required in order to translate documents & audio from one language to the other.
Google Translate is perhaps the most popular and efficient translator available. It is an incredibly efficient system that makes use of AI, machine learning, and NLP to translate text from one language to another. As of now, Google Translate supports 101 languages.
It is important to note that translation is a very tricky process because the software has to understand each word, phrase, and sentence structure for accurate translation. Hence, Google Translate is continuously updated to improve the quality and accuracy of the language-translation.
Spell-check is an underrated tool that is invaluable in our everyday lives. Not everyone can produce a perfect sentence without any spellings or grammar errors. In such a case, spell checks play a huge role in improving writing. Moreover, the autocorrection feature is prevalent in smartphones because it allows you to write down your thoughts immediately without worrying about the spellings. It eradicates the spelling errors from your messages and improves communication.
Autocomplete and Autocomplete is another useful application of NLP that is being used by almost every web / mobile application, including search engines like Google.
Autocomplete helps us to quickly find what we are looking for, using previous searches performed by other customers. Ultimately, autocomplete searches leads to increased customer satisfaction as they will be able to find the required product, service, or any other information quickly and more accurately.
Similarly, Autosuggest helps in quick e-mailing and messaging. You can select the suitable word or even a phrase with just a single click, all thanks to the advancements in NLP. We use these features on a daily basis without realizing that they are the applications of Natural Language Processing.