So the blocker I mentioned. OK, thanks. Well, maybe we could make a translator between whales and dolphins then.
Or we could make a translator between a corpus of scuba diver conversations and dolphins.
We might be able to parse dolphin signals into separate words using ordinary unsupervised learning, no?
Why does the relative size of the vocabularies matter? I’d guess it would be irrelevant, the main factor would be how much overlap the two languages have. Maybe the absolute (as opposed to relative) sizes would matter.
So the blocker I mentioned. OK, thanks. Well, maybe we could make a translator between whales and dolphins then.
Or we could make a translator between a corpus of scuba diver conversations and dolphins.
We might be able to parse dolphin signals into separate words using ordinary unsupervised learning, no?
Why does the relative size of the vocabularies matter? I’d guess it would be irrelevant, the main factor would be how much overlap the two languages have. Maybe the absolute (as opposed to relative) sizes would matter.