NLP vs NLU vs NLG

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Natural language is complicated. So are the computer systems that process natural language. In this video Martin Keen explains Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG) and their relationship to each other.

[@toenytv7946]

Very well delivered sensitive to the learner level of understanding. Like this guy. A newer mentor. Great previous videos too. Feels scientific. Explainable and comes across from the heart. Thank you iBM.

[@IBMTechnology]

We're glad you found it helpful!

[@mustafadankani9598]

Oh men these guys are amazing, they know how to explain. This guy is an original teacher.

[@dankoat]

this explanation is perfect! thank you very much for the content!

[@NavjotSingh-bm9fi]

Amazing, i actually enjoy these videos ♥️.

[@dheerajntl]

really like the way you share your knowledge; thanks for creating these videos, helps learn complex concepts easily

[@om.managements]

I am wondering how did wrote everything in reverse?

[@eugiblisscast]

I think they trained themselves to do it

[@ritammukherjee107]

He is writing in a transparent glass and camera placed at opposite side..and doing mirror image..which turn them lefty and gives illusion like writing opposite.

[@walkingwith_dinosaurs]

I guess they just mirrored the video

[@nakdad]

Exactly the way it’s supposed to be to take complex thoughts and simplify them

[@SuperAussi3]

Awesome...very much interested in learning and advance my skills and knowledge in AI, ML.. with love from Tanzania

[@angelareaddownes8862]

Great video. thank you

[@mohammedadel4973]

Amazing , Thank you

[@MichaelMuthurajah]

Thank you so much

[@anushreevirtualgaming226]

the video summary NLG was really cool idea LOL ...

[@mdmishfaqahmed2138]

The difference is already evident in the name. One is for processing. One for understanding and one for generating. What is there to explain so much 😅

[@vanitymeetstechnology8792]

Fell sad for NLP cause it has to deal with English language which has so many nuances and vocabulary distinguishes, may be we have to give NLP a Rapidex dictionary and parable book of Literature for references ha ha