3 ms·

I wonder when/if/ever context aware MTLs will view onigiris as jelly donuts. Humans already have an issue with using terms or something such that does not exist

I wonder when/if/ever context aware MTLs will view onigiris as jelly donuts. Humans already have an issue with using terms or something such that does not exist within the manga world such as referring to "china" (Chinese ceramics) or Americanizing manga to the point where it makes even less sense to the reader (unless perhaps if you're American? As can bee seen with the mentioned above). Same with people who ̶t̶r̶a̶n̶s̶l̶a̶t̶e̶s̶ ̶W̶e̶s̶t̶e̶r̶n̶i̶z̶e̶s̶ Americanizes suffixes because I'M PRETTY SURE that EVERYONE calls their classmate MISS or MISTER. And the same goes obviously towards pet/nicknames. Heck, everyone addresses their older sister/brother as big sister/brother and NOTHING ELSE right?

kevingadd 6y ago
The onigiri/jelly donut thing is not particularly uncommon if you try to shove complex text or dialogue through Google Translate and similar MTL systems, because they are trained heavily on existing text. If the japanese string you plug in is uncommon enough you may get back imageboard slang, text from video game wikis, or racial slurs.
- Bork_Bork 6y ago
  That means an overreliance on the word bruh if we go by current standards. Hopefully it does not come to that but if current AI trends is anything to go by...
- krapp 6y ago
  I'm pretty sure the onigiri/jelly donut thing only happened because 4Kids didn't think American children would know what onigiri was - they were infamous for their terrible localization. Google Translate translates it more accurately to "rice balls" today - something as simple as that wouldn't be a problem for machine translation.
  - kevingadd 6y ago
    That's assuming the training set is all of the media that mainstream Google Translate was trained on. The paper talks about more specialized training sets so it's quite possible something like onigiri could end up under-represented (though I suspect it's common enough in manga that it would be something more obscure). Naturally the "jelly donut" part would only slip in if they used untrustworthy data like forum posts or 4kids localizations, but that's exactly the kind of data that Google Translate and similar algos scrape from the internet for training.

kevingadd 6y ago

The onigiri/jelly donut thing is not particularly uncommon if you try to shove complex text or dialogue through Google Translate and similar MTL systems, because they are trained heavily on existing text. If the japanese string you plug in is uncommon enough you may get back imageboard slang, text from video game wikis, or racial slurs.

Bork_Bork 6y ago
That means an overreliance on the word bruh if we go by current standards. Hopefully it does not come to that but if current AI trends is anything to go by...
krapp 6y ago
I'm pretty sure the onigiri/jelly donut thing only happened because 4Kids didn't think American children would know what onigiri was - they were infamous for their terrible localization. Google Translate translates it more accurately to "rice balls" today - something as simple as that wouldn't be a problem for machine translation.
- kevingadd 6y ago
  That's assuming the training set is all of the media that mainstream Google Translate was trained on. The paper talks about more specialized training sets so it's quite possible something like onigiri could end up under-represented (though I suspect it's common enough in manga that it would be something more obscure). Naturally the "jelly donut" part would only slip in if they used untrustworthy data like forum posts or 4kids localizations, but that's exactly the kind of data that Google Translate and similar algos scrape from the internet for training.