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The fact that this was machine translated was surprising as it was remarkably readable! Interesting how far that tech has come while I wasn’t looking.
by ChilledTonic 1y ago
The fact that this was machine translated was surprising as it was remarkably readable! Interesting how far that tech has come while I wasn’t looking.
- userbinator 1y agoI read your comment after the article and didn't believe it. JP>EN is one of the trickiest pairs for MT and there are usually interesting phrases, understandable but distinctive, that would appear even if an actual human did it.
- Pfiffer 1y agoIt was originally written in french
- userbinator 1y agoThat makes sense, FR>EN is far easier and even Google Translate has been doing a decent job of that for a long time.
- dwood_dev 1y agoLLMs are quite good at translation. You can even instruct them to use different linguistic styles and regional idioms. They are also quite good at translating poorly written and only semi coherent writing, which can be incredibly useful if the person you are communicating with is quite sloppy.
- AnotherGoodName 1y agoTo be clear, it's the original purpose of LLMs. The whole LLM scene today came about because context was really important to translations. The "attention is all you need" paper was by the Google Translation team as they came up with ideas to improve how to map context of words and carry them across in translations. At some point people started asking the translation to "translate from English to English as if you're an AI assistant". Anyway it shouldn't surprise anyone that LLMs are good at translation. The real surprise to everyone is how powerful translation engines that understood context could be!
- pests 1y agoOne distinction is the original transformer was an encoder/decoder while (most?) LLMs today are encoder only. The translation transformer also was able to peek ahead in the context window while (most?) LLM's now only consider previous tokens.
- yesco 1y agoI like to think of it as if the LLM is simply translating questions into answers.
- jimbokun 1y agoIt also makes sense that they would be good at translating from English to programming languages, for the same reasons.
- TMWNN 1y ago>They are also quite good at translating poorly written and only semi coherent writing, which can be incredibly useful if the person you are communicating with is quite sloppy. You see this with recent automated translation on YouTube. If the creator of (say) an English-language video doesn't upload subtitles, YouTube automatically creates them based on the audio, but they lack punctuation and have nonsense phrases. The AI-driven translation of those subtitles to other languages cleans up the text along the way, so the end result is that non-English speakers get better subtitles than English speakers.
- happycube 1y agoBringing it back to the other comments, they should do EN->EN translation on the transcription.
- deleted 1y ago[deleted]