In this article we are going to cover the various uses of Natural Language Processing Technology to add value in our daily life.In this article we are going to cover the various uses of Natural Language Processing Technology to add value in our daily life.
We all are aware of the era-defining impact of artificial intelligence (AI) and machine learning ( ML) technologies across all digital interactions and applications. Often another technology remains under the shadow and only insiders are aware of the huge and unspoken role play by this technology called Natural Language Processing (NLP).
From simple checks performed to detect and correct grammatical and sentence formation mistakes to auto-suggesting sentences and terms as and when you write a text or fill up a form, Natural Language Processing (NLP) is everywhere. It came as a powerful tool to transform our day to day digital interactions in numerous ways.
Here we are going to explain a few of the uses of Natural Language Processing (NLP).
A most common and widely encountered use case of this technology is the auto prediction of the terms and sentences when we write emails or compose a text document. Thanks to this powerful technology Gmail can predict commonly used phrases, frequently used email addresses or the Google Doc app can predict terms and words based on context or usage.
It is common for most of us to commit certain grammatical mistakes or to write wrongly framed sentences while composing emails or text documents for various purposes. As most mobile users compose texts on the move, they are more vulnerable to commit such mistakes.
The Natural Language Processing (NLP) here also comes at the rescue to deal with these unwanted mistakes with auto correction. The technology is being used by many smart note-taking and writing apps for auto-correcting grammatical mistakes. At least all basic doc and text apps underline the mistakes to grab the attention.
Chatbots that are able to mimic human conversation in different contexts for providing support to the users have evolved over the users and continued to become more intelligent and adaptive. Now Chatbot apps are being used by all sorts of applications including food delivery apps to travel and ticket booking apps to ensure prompt response and solving customer queries.
Here too, NLP is a core element which is used along with with Natural Language Generation (NLG), Machine Learning (ML) and Fundamental Learning (FL) technologies. All these technologies together train and prepare the bot to answer the questions and queries of the customers in a more responsive manner.
The way Google Translate and other instant translation apps have become popular across countries where several dialects dominate public conversation is a phenomenal thing. Well, even within this translation applications and interfaces Natural Language Processing (NLP) plays a crucial role.
No wonder, thanks to this technology, products representing ethnic and linguistic traditions across the world now swept the web and became subject to huge global market reach. As a recent report indicates, products from regional companies now cater to a whopping 234 million local dialect-speaking population in India.
As far as communicating the intended meaning is concerned, Natural Language Processing (NLP) will continue to play a key role across intelligent interfaces. The above are just some of the examples of the impact of this technology in our daily life.