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At first I thought this was really insightful now it seems like just redefinition of meaning. An analogy is an experiment where a scientist says "I can prove t
by BoiledCabbage 9y ago
At first I thought this was really insightful now it seems like just redefinition of meaning.
An analogy is an experiment where a scientist says "I can prove these two people have ESP and can pick the same #". He sits them in two separate rooms and has her first pick a number. He goes to the second room and has him pick a number. 17? No higher. 24? No higher. 52? No lower. 43? Yes exactly!!
"See, these two people both came up with the same number without any communication with each other. ESP!"
If they want to show this language learning is powerful, demonstrate that once trained it can now be applied to a third language without any new "adversarial feedback".
Or it reminds me of the fake "we can communicate faster than light via quantum entanglement" claims. But then the caveat comes that they can only figure out what the value of the bit of info they communicated was causally.
- deleted 9y ago[deleted]
- benkuhn 9y agoI think you missed something. Previously, machine translation required being trained on a bilingual corpus, that is, a corpus of the same set of sentences in eg English and French. These corpora are pretty hard to come by and expensive to produce. The paper describes a technique to use two monolingual corpora instead, i.e. one set of sentences in English and a different set of sentences in French. That's way easier to find. It's far from just a definitional trick.
- JPLeRouzic 9y ago>> These corpora are pretty hard to come by and expensive to produce. Actually there are lot of texts translated by qualified translators in several languages, for political reasons: EU's commission websites, perhaps some other countries official websites. You can have a look at Linguee [0] which uses this to provide translation suggestions: [0] https://www.linguee.com/ https://www.linguee.com/