Natural Language Processing vs Natural Language Understanding

In this article, we will discuss the differences between natural language processing (NLP) and natural language understanding (NLU).

Natural Language Understanding (NLU)Natural Language Understanding (NLU) or Natural Language Interpretation (NLI), on the other hand, is the subtopic of NLP which deals with machine reading comprehension by breaking the elemental pieces of speech.

Although the terms natural language processing (NLP) and natural language understanding (NLU) are closely related to each other and sometimes they are used interchangeably, these two concepts are different from each other with a little layer of similarity.

With the help of artificial intelligence and computational linguistics, machines are able to learn the natural language used by humans in a more efficient way.

NLU being the subtopic of NLP, it helps in processing the human-like understanding from the unstructured data I.E.

ArchitectureIn NLP, in terms of the pipeline, the overall architecture can either be batch processing or real-time processing architecture.

NLU communicates with the untrained and unstructured data in order to understand their insights and meanings, I.E.

This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.

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