It’s particularly obvious if you translate between languages with vastly different grammar, e.g. Korean -> English, since Korean doesn’t require a subject per sentence but English does – so Google Translate then sometimes just inserts random subjects from its training data into the translated text. ChatGPT, by understanding more of the context before each sentence in a long text, seems to do this less.

For stuff like French -> English or German -> English where there is “no missing info” per sentence to create grammatically correct sentences, so that it doesn’t need to rely on context to translate correctly, Google Translate is great.

Sure, in translation one always has issues of sarcasm or irony, but I felt the tool was probably hallucinating more than being a useful work instrument.

Lagniappe: https://www.youtube.com/watch?v=CFCABnWlN8E

EDIT: and yes, I also prefer the older behaviour of translation programs, whose output was noticeably disfluent where it was poor instead of just bullshitting to stay fluent.

When accuracy is absolutely critical, don’t depend on machine translation alone, and especially don’t depend on a single machine translation without cross checking it. As it is, I have anecdotally only had good experiences when comparing GPT-4o’s translation quality to Google Translate. I would love to see objective research into the topic, if someone were offering it, but not trite dismissals that imply Google Translate is somehow immune to hallucinations.

Source: Was fansub translator, partook in many translator flame wars over translation disagreements and we all shook heads at the work of craplators.

Also, I will tell you most professional translators are shit at their job.

I can't wait until computer programs can practically take over translating, it's a thankless sweatshop line of work.