Earlier quoted context omitted.
But what share of translation dollars are non-formulaic content? To me it seems that there are tons of manuals for dishwasher and such to translate (where from my experience quality basically doesn't matter) and only a limited amount of diplomatic communiques.
Manuals have been machine-translated for ages, well before algorithms were anywhere close to ready for the task. No change there. >a limited amount of diplomatic communiques With zero data to support it, I'd bet good money the vast majority of semi-professional translators (that is, those not employed by publishers but still making some money off of their work) work on fiction, translating comics, subtitles, etc. Act…
Full time professional, 20 years of experience.
Keep in mind that 99% of translators are freelance. Translating something takes only a fraction of the time it takes to write the original, so publishers only have full time project managers and editors and hire translators per job as needed.
Engines like Deepl do give very good results on some single sentences. After all, they are huge databases of previous human translations, they are bound to nail it here and there. Where it falls apart is in keeping a good average and a consistent voice, so either you leave it all as messy AI sludge or you rewrite it substantially (at which point it's a glorified dictionary)