NLP vs. NLU: from Understanding a Language to Its Processing
As artificial intelligence progresses and know-how turns into additional refined, we anticipate current concepts to embrace this modification — or change themselves. Similarly, inside the space of computer-aided processing of pure languages, shall the concept of pure language processing give strategy to pure language understanding? Or is the relation between the two concepts subtler and further tough that merely linear progressing of a know-how?
In this publish, we’ll scrutinize over the concepts of NLP and NLU and their niches inside the AI-related know-how.
Importantly, though sometimes used interchangeably, they’re actually two utterly completely different concepts which have some overlap. First of all, they every care for the connection between a pure language and artificial intelligence. They every strive to make sense of unstructured data, like language, as opposed to structured data like statistics, actions, and lots of others. However, NLP and NLU are opposites of a lot of various data mining strategies.
Source: Stanford
Natural Language Processing
NLP is an already well-established, decades-old self-discipline engaged on the cross-section of laptop computer science, artificial intelligence, and increasingly more data mining. The last of NLP is to study, decipher, understand, and make sense of the human languages by machines, taking positive duties off the folks and allowing for a machine to cope with them instead. Common real-world examples …
