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zakruti.com » Knowledge, science, education » Crash Course
Natural Language Processing: Crash Course AI #7

Natural Language Processing: Crash Course AI #7

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Rating: 4.0; Vote: 1
Natural Language Processing: Crash Course AI #7 Reigh: I want to see about getting Dianna a house near the LIGO in my home town and live peacefully with her. My cousin wants me home too and even though my Uncle wants to sell my Grandma's place that her dad built she was talking about getting me in there away from here back to home for her birthday if my birthday present of this 10 year programming project worked out I wouldn't even need it we could build a new one on the property. That's how my cousin was talking despite me being a on disability. Wait too forward huh ok slow it down take it easy breath ligo girl who likes ligo beautiful intelligent but be realistic screw it I'm manic let me go on a date with her.
Date: 2022-04-04

Comments and reviews: 9


Can you use known identifying words like types of medication routes as statically programmed to find all the sentences pertaining to parse them out and run a loop to concatenate? Also The heading key words then search a whole reference and parse those by listing by route and add any general sentences for the heading and dose instructions sentence? I 'm pretty sure that right to get my baseline then from there have it try and use machine learning to summarize those concatenated rows one by one to reduce character counts and make it more clear understandable ie flow in sentence structures when put back together.
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I'm kinda hungry, I think I'd like some chocolate please.
I'm kinda hungry, I think I'd like some chocolate thanks-.
I'm kinda hungry, I think I'd like some chocolate now. -
I'm kinda hungry, I think I'd like some chocolate later. -
I'm kinda hungry, I think I'd like some chocolate today-.
I'm kinda hungry, I think I'd like some chocolate suggestions.

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I've been looking forward to this episode for a while - I'm a Computational Linguist, so this is all my bread and butter. In fact, I took a class taught by Ray Mooney in my undergrad, and my graduate work mostly centers around language models for home assistants, so I use a lot of RNNs. Great job with this series guys!
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Very well done and enjoyable series. I'm looking forward to the next episode.
I did some postgraduate work in AI back in the 1980s and we thought we were right on the cutting edge. Seeing something like this and looking back, I realize just how primitive our tools and techniques actually were.

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Linguist here. Am impressed by the level of accuracy/depth. Please do a Crash Course linguistics. It's an underrated field and breaks my heart to see just how small it is in the shadow of physics or history - but you guys can definitely shed some light on it!
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At the very moment I heard him saying that chocolate potatoes didn't exist, I was pretty sure commenters would find where to find chocolate potatoes.
And, according to some comments, chocolate potatoes exist. -

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I say reinvent the wheel. Cant understand any of it, must destroy for safety.
Have you though of slowing down, life is confusing already. Wait for everyone to catch up. There is nothing out there.

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hey my dudes
watch your videos a lot in our classes but it is sorta hard to suck it all in. You do give a lot of good info but are speaking realy fast. Just a little thing. Thank you: )

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Was disappointed y-all left out sign languages. They-re natural languages just like spoken languages. -Languages are spoken, written, or signed-. Inclusivity is just a single word away.
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