If you say so.
this post was submitted on 26 Aug 2026
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Mildly Infuriating
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They don't. OP just bulk reposts other people's complaints. Talk about mildlyinfuriating
I was just pointing out that I (and probably most lemmy users) have to take OPs word for there actually being a mistranslation in the screenshot.
And I'm just saying they'll never confirm it either way because it's not a human posting
You notice it when you look at international instructions on packets of food. The non-English texts have a distinct English vibe even when the product is, say, French or German.
Or Microsoft documentation pages which are all sloppily translated by ai without proofreading
The middle language is not a spoken language. Googles AI created an intermediary language (like 10+ years ago) to translate between all languages. It's not written/spoken, it's done on weights. It's referred to as an 'interlingua'
Very old article, they are absolutely just using llms nowdays
Edit: this is the paper https://arxiv.org/pdf/1611.04558 the article is about
For German Dutch is does seem to do it directly. But I think it mostly is because a person has put in the effort for it.
Doesn't German -> Dutch basically involve just translating half the words to English and adding a silly accent though?
I wish. Love, Dutch person learning German.
The way translation engines are trained is with a body of written text in two languages, which teaches the engine both how words translate and how they fit in equivalent semantic contexts. That way it can decide which synonym is the best one to use given the context, and lose the least amount of context in the bridging.
Of course a person as put in effort, so has in every language. But that's irrelevant if there isn't a large body of text in both languages to learn from. I'm sure German and Dutch have a looooot of shared texts.
It's the consequence of translation engines being trained on a corpus that is mainly Spanish and English. Meaning, that most txt in other languages have been translated to either Spanish or english, and those translations are what is used to train contextual inference for translations. It needs a corpus of text of two languages to even attempt translation from A to B. If it doesn't have enough, it will use bridge languages.
How many texts are there both in Ukrainian and Japanese? Effectively none, so it makes perfect sense to use a bridge language. The issue here is that the context wasn't properly kept in the bridging, and they should theoretically be able to do that. A buddy I shared my master's with was Iranian and he explained the semantic context issue to me, he was working on exactly this issue.