Machine Translation
topic on 5 shows · 5 statements across 5 episodes
No Priors
Invest Like the Best
Top Founders
the MAD Podcast
the a16z Podcast
5 statements about Machine Translation, every show
Booking CEO: Machine translation eliminated all human translation jobs at Booking
“Now we have machine translations. All those jobs are gone. There's nobody doing that. That's, all those jobs disappear.”
Levine: General Language Models Proved Easier Than Narrow NLP Systems
“Again, in much the same way that for language models, it turned out to be Easier in some ways to solve natural language tasks in their full generality than to narrowly target like machine translation or sentiment analysis or whatever.”
Chip Huyen: Machine translation is largely solved for major languages
“Now it was like pretty much like people are saying that machine translation is like pretty much sold for like major languages.”
Marco Hojan says improved machine translation reduces reliance on skilled translators
“The trend is that the companies translate more and more by themselves. The reasons are technical knowledge, SEO optimization, security, and so on. And machine, with machine translation, actually you don't need such good translators anymore.”
Sinofsky: State-of-the-art machine translation still relies on 1970s NLP
“The best example for me of that is how everybody said machine learning was going to replace all of natural language processing. But if you dig into any of the work that's been going on, even the most state of the art translation, which, you know, goes any lang…”