What is difference between Natural Language Processing and Natural Language Understanding?

It is quite common to confuse specific terms in this fast-moving field of Machine Learning and Artificial Intelligence. The above is the same case where the three words are interchanged as pleased.

Now let us get down with three words:

1. NLP — Natural Language “Processing”
2. NLU — Natural Language “Understanding”
3. NLG — Natural Language “Generation”

If I need to say it in a mathematical way it could be said as the combination of NLU and NLG will result in an NLP engine that works.

NLP = NLU + NLG

NLU is the understanding of the meaning of what the user or the input is given means. That is nothing but the understanding of the text given and classifying it into proper intents.

When it comes to natural language, what was written or spoken may not be what was meant. In the most basic terms, NLP looks at what was said, and NLU looks at what was meant. People can say identical things in numerous ways, and they may make mistakes when writing or speaking. They may use the wrong words, write fragmented sentences, and misspell or mispronounce words. NLP can analyze text and speech, performing a wide range of tasks that focus primarily on language structure. However, it will not tell you what was meant or intended by specific language. NLU allows computer applications to infer intent from language even when the written or spoken language is flawed.