Using AI to match human performance in translating news from Chinese to English

Post by foldr » Sat, Mar 17, 2018, 12:10 PM UTC

foldr wrote: post #29

lima wrote: post #6

The most impressive ML translation tool I've seen so far is DeepL[0]. Sometimes, it manages to translate whole articles without errors. [0]: https://www.deepl.com/translator

Impressive, but there's an easy formula for getting these systems to make mistakes. Just input a sentence with some kind of long distance dependency. For example, DeepL gets agreement right in English to Spanish translations when the two things that agree are close together: I like soup -> COMO sopa They eat soup -> COMEN sopa Impressively, it can even get agreement correct across clause boundaries in many cases. But…

Hmm, that seems to have been fixed now. Here's a nastier case that shows a similar effect. (Nastier because the agreeing indirect object in Spanish is a subject in English.)

    Which boys does she know like cheese?
    ->
    ¿A qué chicos sabe que LE gusta el queso? [Should be LES]

Post by dmfdmf » Wed, Mar 21, 2018, 5:38 AM UTC

romaniv wrote: post #59

dmfdmf wrote: post #49

Earlier quoted context omitted.

Thanks for rebutting Chathamization's gross misrepresentation of Searle's argument. > It's all theoretical as long as you stick to simple tests (like multiple-choice exams), but becomes relevant when you suddenly expand the context (like requiring the student to prove some theorem instead of doing a calculation). Not even expanding the context changes the situation. The proof of a theorem can be memorized without any…

> The proof of a theorem can be memorized without any understanding just as easily as algebraic rules. Sure, but in practice students who rely purely on memorization can't answer questions that go beyond what's directly covered in textbooks.

Questions from another conscious being that understands meaning and isn't just processing symbols, of course.

Re: Using AI to match human performance in translating news from Chinese to English

Re: Using AI to match human performance in translating news from Chinese to English