Natural Language Processing | CKY Algorithm & Parsing | CFG to CNF | Probabilistic CKY | Numerical 

This man earned a lot of respect literally 💌

Thank you so much sir. I’m trying to learn this concept from different sources but yours was clear. Most underrated RU-vid channel it seems!!

Thanks Binod, its really simple to understand. When i go thru your video - you make concept easy to understand & quickly grasp it. Thanks once again

I really wanna thank you Mr. Binod. This was made so easy to understand to your genius.

sir ur way of explanation is simply superb

Very useful video! Clear explanation on the concept and easily understandable numerical.

Thanks a lot sir, for explaining it clearly you really helped me understand this concept better than any other lecturers present

tmrw is my exam. watching this video boosted my confidence. easy to understand

Thank you Binod for your videos. it helped for exams!

Hello, so if there is more than one parse given by the probabilistic CKY you choose the more probable?

I could be wrong but I calculated a different final probability. In chart[0,5] I get 2.304x10^-8

Thank you for explaining this clearly

this is a super helpful explanation. Thanks for making this video..

Thank you sir you cleared me this topic

Thank you Sir ! You make subject interesting.

Thank you ! This was an amazing explanation

Big thanks 🙏. Sir ! Please explain Chu- Liu-Edmonds algorithm

Thanks for your video, very helpful and understandable

Why did NP and v didn't connect in 0,3 box ??

Apply probabilistic CKY Parsing of PCFG to the sentence “John eats pie with ice-cream” and update the table. Production rules Probabilities S → NP VP 1.0 NP → N 0.4 NP → NP PP 0.6 VP → V NP 0.7 VP → VP PP 0.3 PP → P NP 1.0 N → "John" 0.2 N → "pie" 0.3 N → "ice-cream" 0.5 V → "eats" 1.0 P → "with" 1.0 can you please explain for this?

Thank you Soooooo Much it was really helpful

explained so well thanks so much

Thanks Sir, this has been very helpful, i really appreciate

how precision can be achive with probabilistic cky algorithm?

Thank you sir

Thank You, It is a nice video.

sir, which book you are referring to?

parse tree ??

Plz make video how you calculate so fast

awesome

Thanks Soo much👌

Wonderful explanation ❤sir.Thank you

❤

What is probability is not given

Nice sir

Next video when?

The IIT professor failed to teach the CYK algorithm as effectively as you did.

Binod

Fantastic explanation. Thank you Binod!

Binod

sir brilliant explaination thanks for teaching respect your efforts

Binod

thank you sir, great explanation

This is really helpful, thank you ! :))

will the set of rules be given in the question paper or do we have to do that on our own

Binod Suman I think calculation at the end is wrong

sir aapne isme error kiya hai 0.3*0.4+0.02 =??

good explaination, it's also help to implement through programs

Please complete the playlist sir

by any chance are you from Assam ?

Thank You, Sir.

clear and concise!

What a lovely teacher, keep it up 🙃🌹

💯

Hi, pls add more videos on the continuation of CKY, chart parsing, PCFG, dependency parsing, transition parsing. Thanks for your lectures but need more videos.