#i think because human interpreters aren't perfect (because the job is hard!!) there could certainly be a temptation
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Btw, re: my opinion that computers are not gonna be able to translate sign languages in our lifetime, it's not that sign languages are necessarily More complicated than spoken/written languages (I truly don't know how you'd measure that but I'd assume they're equally complicated). But video is, in terms of sheer data, much bigger and presumably harder to process than audio. I cannot imagine this happening without *astounding* computational resources which would take far more energy, water, and money than a human interpreter (and, more importantly, wouldn't work as well, at least for the foreseeable future). I assume the computation would happen off site in most cases if it did work, meaning the Internet connection is gonna need to be phenomenal (there is already widespread dissatisfaction with VRS human interpreters used in medical settings because half the time the connection drops). Speech to text, with all the issues it still has, seems like a breeze in comparison to 'understanding' a video.
I also cannot wrap my mind around how a machine would handle depictions. Like, with some practice behind me, my human mind is now able to understand (some) depictions I've never seen before (thank goodness, because there will ALWAYS be new depictions I haven't seen before, bc Deaf people are resourceful and creative), but I don't see how a machine would. That's pure sci fi to me. I also wouldn't expect a machine to do a good job translating stuff it's never heard before in a spoken language (e.g. wordplay, or the way you can sometimes tell the meaning of a new slang word from context, or an uncommon name even), but the thing is I think depiction is a much bigger part of daily life than wordplay is?
#Just wanted to clarify I wasn't like being weird and elevating signed languages above spoken#or i mean. if i still am let me know. it's true that ASL seems more complicated to me than English#but i try to recognize and work around that bias#like of course my native language doesn't seem complicated *to me*. i get that#anyway. I also don't know anything about the tech involved so by all means take me with a grain of salt#But this truly feels like common sense to me#If you time traveled me to the year 2080 and I saw a machine accurately translating ASL into English#My first thought would be 'which ocean is being drained for this right now'#And then 'wtf is the sheer size of this program + the database it's working off of'#I think it's cool to study this stuff. Don't get me wrong. But I don't think we should kid ourselves#It's not gonna be practical anytime soon#All that's without even considering the reverse of translating a spoken language back into a signed language#i think because human interpreters aren't perfect (because the job is hard!!) there could certainly be a temptation#to think that machines could be better than humans one day#but man. do you know what would be a better use of resources for the time being?#supporting hearing and especially Deaf interpreters in their studies and jobs#turns out a great way to improve a human's performance is to give them a teammate#we don't have to jump straight to replacing them with a machine#for anyone who doesn't know: if a particular job requires deep understanding of Deaf culture & deafness & the Deaf community#a hearing interpreter can team up with a Deaf interpreter for much better results#like the Deaf interpreter can interpret the hearing interpreter's signing into signing the Deaf client can understand better#and vice versa#anyway. it makes sense people are excited about machines. but can we stop going around saying 'hey AI is gonna take your job'#for jobs that we don't even understand 🙃#this is where y'all find out that this whole wall of text is directed at a guy who said that to my husband
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