The reality of having machines talk and respond to us in a human-like manner is already a reality. And it keeps getting more and more realistic with every passing day.
The virtual assistant that helps you with your queries on websites, your smart assistants like Alexa or Siri, or even calls made over the internet, all of them have one thing in common: none of them are human. But if they are not human, how do they manage to sound and seem so human-like? How do they respond so intelligently, and how are they so articulate?
Natural Language Processing is the technology making this possible. NPL refers to the branch of artificial intelligence that gives machines the ability to read, understand and derive meaning from human languages. NPL combines the field of linguistics and computer science to decipher language structure and guidelines to make models which can comprehend, break down, and separate significant details from text and speech.
Every day humans interact with each other through public social media profiles. These interactions help to transfer vast quantities of freely available data between each other. This data is valuable in understanding human behavior and customer habits.
Data analysts and machine learning experts utilize this data to give machines the ability to mimic human linguistic behavior. NPL helps save millions in terms of human resources and time.
NPL is also a lot more widespread than you may realize. You use it every day in seemingly ordinary and insignificant situations. When you can’t spell a word correctly, autocorrect has you covered. Need to see if your article or thesis will get flagged for plagiarism? That’s okay! A plagiarism checker will search through the web and find any cases of published documents that may match your work.
Other significant uses of NPL include Search results, language translation, disease prediction, search engine optimization, market analysis, and speech recognition.
NPL is altering the way humans and machines interact, and with the available information continuously growing in size, NLP is unquestionably growing in popularity.