Survey reveals translators and illustrators losing work to AI
www2.societyofauthors.org
www2.societyofauthors.org
Machine translation certainly has improved a lot, but still has the usual AI issues- namely that the AI confabulates details in places where a human translator would realize that something is unclear and refer to context, other parts of the text or external research for clarification. A common example in Japanese to English is that Japanese often omits pronouns, while the English version of the sentence requires "he"/"she"/"me"/"you" to be grammatical. A human translator can check this, but AI will often autofill whatever is the most common in its dataset, which could be completely wrong in context. So I think the risk with machine translation is that it can seem reliable and trustworthy 90+% of the time, but if you have no ability to read the original text and compare, you're rather quickly going to get caught out by something that looks like a professional, clean, correct translation, but is a total misrepresentation of what was actually said.
It’s not just the language itself but the culture. Same words can be used differently or have different meaning.
Another thing I notice is that, if a translator is not familiar with how people in a certain culture interact, and what words they use in different situations, they can end up doing things like translating something as a polite, gentle explanation when it's clearly a mocking, condescending one. The literal meaning of the words is there, but they haven't picked up on the tone. Even English does this- "I beg your pardon", "With all due respect" and "As per my last email" are frequently (but not exclusively) hostile even though the literal words are formal/polite. This is also hard for AI to deal with.
https://8020japanese.com/politeness-levels/
It is cultural indeed, but it has impact on the language. Can you cite me another language with so many rules for politeness ?
a lot of it turns out to be slang, and I've been able to ask ChatGPT for nuanced context on how its used, immediately.
I've never been able to do that in history. Duolingo would never do that, formal education wouldn't either. A dictionary wouldn't. Google translate couldn't.
can search more content and conversations using the topical slang as the keyword.