Artificial Intelligence & the science of Future of Language Learning?

With each passing day, Artificial intelligence is becoming capable enough to tackle the future on its own without any human assistance. But then, there is one area of concern that remains AL’s biggest challenge and it is language understanding. There have been quite a few breakthroughs in the field, but it still is yet to reach its full potential.
To counter this problem, researchers and scientists came up with the Natural Language Processing (NLP) to enable AI. The NLP is devised as a technology used in aiding computers to understand the human’s natural language. But, it is not easy to teach machines to understand how we communicate. This blog could give you a simple introduction to NLP and how it can be achieved.

Natural Language Processing:

Natural Language Processing (NLP) is a branch of AI that deals with the interaction between computers and humans using the natural language. NLP was conceived to decipher, read, understand and make sense of the human languages for a specific purpose. It can be possible by relying on machine learning.
ONPASSIVE, the AI-powered smart business solution ecosystem has been designing an NLP tool that could support multi human languages between machines that they use. If a pattern has to be drawn between the machine and humans using NLP, it could go as follows:
  • Humans speak to machines
  • The machine captures the audio
  • Audio to text modification takes place
  • Processing of the text’s data
  • Data to audio conversion take place and
  • The machine responds to humans by playing the audio file.

NLP’s Applications and Usage:

Many common applications are using Natural Language Processing and they are
  • Language translation applications such as Google Translate
  • Word processors like MS word and Grammarly employ NLP to check the grammatical accuracy of texts
  • Call centers use NLP in interactive Voice Response (IVR) applications and
  • Personal assistant applications such as OK Google, Cortana, Siri, and Alexa.

Is NLP difficult?

Lets us go back to the basic question that we started this blog with. Researchers and scientists consider NLP as a difficult problem in computer science and it is the nature of human language which compounds that difficulty for NLP.  
Humans devised the concept of language with a purpose and those rules that dictate the passing of information using natural languages are incomprehensible for computers. A sarcastic remark in natural language could be high-level and abstract for computers. The intent differs in various ways for a human natural language.
Understanding the human natural language comprehensively requires AI, deep learning, and machine learning to understand both the words and how the concepts are connected to deliver the intended message. This is the difference between a human and an AI. Humans can effortlessly master a language but the ambiguity and imprecise characteristics of the natural language are what makes Natural language processing a challenge for machines to implement. READ MORE

Comments

Post a Comment

Popular posts from this blog

Leading And Team Building With GoFounders!

Image
In this article, we will be looking into how a corporate leadership process can be effective for leading and team-building with the help of  GoFounders . It is a well-known fact that where there is no friction or discord, there is no effective learning done. A corporate leadership process can help in bringing experts from various areas in talking with participants. It is a well-known fact that having classes or discussions where there is 50% time dedicated to a lecture, and 50% is dedicated to interaction. There was a leadership discussion for the systematic human resources policies which can either help or hinder the leadership program. These classes got engaged and can help in challenging the speaker as well. HR and leadership can be an incredibly enjoyable and informative process only if it is communicated and taught well. GoFounders can be an excellent building platform for aspiring leaders or thought leaders in building the skillset they need to rise above the rank...
Read more

Benefits of AI

Image
Artificial intelligence is becoming the next frontier that unleashes the next wave of digital disruption, and businesses should be ready to implement it now.  Here are a few benefits of AI in today’s business. READ MORE
Read more

What is Digital Signature and How It Secures E-docs?

Image
What are Digital Signatures? Digital signatures  are the mathematical way of verifying and authorizing digital messages. These are the digital equivalent of handwritten signatures and stamps, and use mathematical algorithms to establish security and protection of the documents sent and received online. How are digital signatures created? Digital Signatures use  Asymmetric Cryptography  that creates two keys linked with the document creator and the user. These signatures follow a  Public Key Infrastructure (PKI)  protocol to create two-key authentication:  Private  and  Public . The private key can be used only by the signer, and the public key is for those who validate the signer’s electronic signature. The private key gets activated when the document is signed, which is encrypted using the mathematical algorithm that acts as a cipher. This document gets decrypted when the party at the other end uses the public key to validate the sign...
Read more