The most important technology that makes the voice assistants and smart devices look and feel natural is Natural Language Processing (NLP). It enables machines to hear, comprehend and react in the same way that a human being does. Nowadays, millions of citizens use such a device as Alexa, Google Assistant, or Siri to do things quicker. We can review the role that NLP plays.
Learning about the Human Language. In its basic form, NLP assists the machines to work with the normal language. Slang, accents, and informal speech full our speech, and voice assistants can comprehend most of the commands. E.g. you can say Play my favorite playlist or Turn off the kitchen light. NLP decomposes such words, recognizes intent and passes the proper command to the system. NLP would be needed to make smart devices comprehend anything other than fixed, computer-like inputs.
Enabling Context Awareness NLP does not simply comprehend words. It also knows the course of a conversation. That is why intelligent devices are more intuitively used. And when you ask me, who won the match yesterday? and then proceed to say, What about the next game?, the assistant links the questions. It is well aware that you are still questioning of the same sport. Voice assistants are more than command and response devices because they have context awareness.
Improving Personalization The smarter the smart devices become the more you use them. NLP assists them to adjust to your voice, habits and preferences. As time passes by, your assistant may suggest music that you listen to, prompt you to do things or even customize smart home systems to your liking. As an example, when you regularly tell the system to set the temperature to 24 degrees, then it might begin to do so automatically overnight. The experience is made easier and more handy through personalization.
Favoring Multilingual Capabilities. Multilingual support is one of the strongest NLP features. Voice assistants are now able to accommodate dozens of languages, regional dialects and even alternate languages within a conversation. This renders smart devices more accommodative. An example would be the family that communicates in English and Spanish at home can communicate with the same assistant in both languages. This is beneficial to businesses and households globally.
Conclusion
The NLP has transformed the way we relate to technology. It enables voice assistants and smart devices to comprehend, learn and behave in a human manner. NLP has enabled these devices to become a daily part of life with enhancement of understanding, context awareness, personalization, and multilingual support. The future of NLP will make the dialogue with smart devices even more natural.