And DeepL translate is blown out of the water by Chat GPT 4.
I tested GPT 3.5, GPT 4.0, Google Translate, and DeepL on some "difficult" sentences, and GPT 4 was the only one that could translate them correctly. Not only that, it could do style shifts in non-English languages, such as "make this more formal", "less formal", "idiomatic", etc...
I suspect that GPT 4 is so good at translation is because it understands what it is translating at a near-human level.
I like this snippet:
"John Bear from Bear Stearns was bearish about bear pelt futures on the Bear City bear markets."
Which GPT 4 can round-trip from English -> Hungarian -> Chinese -> English again and outputs this:
"John Bell comes from Bellsterns and has a very strong bearish sentiment on the future value of bear skins in the Bear City bear market."
Interesting to note that it used a sounds-alike-to-Chinese-speakers "Bell" for "Bear" in proper names. Other than that, this is pretty good, which is very impressive. DeepL and Google Translate shreds the first step and have no hope on a round-trip this long across such unrelated languages. For example, DeepL outputs some gibberish about bear claws (the pastry) and bear cubs!?
I tested GPT 3.5, GPT 4.0, Google Translate, and DeepL on some "difficult" sentences, and GPT 4 was the only one that could translate them correctly. Not only that, it could do style shifts in non-English languages, such as "make this more formal", "less formal", "idiomatic", etc...
I suspect that GPT 4 is so good at translation is because it understands what it is translating at a near-human level.
I like this snippet:
"John Bear from Bear Stearns was bearish about bear pelt futures on the Bear City bear markets."
Which GPT 4 can round-trip from English -> Hungarian -> Chinese -> English again and outputs this:
"John Bell comes from Bellsterns and has a very strong bearish sentiment on the future value of bear skins in the Bear City bear market."
Interesting to note that it used a sounds-alike-to-Chinese-speakers "Bell" for "Bear" in proper names. Other than that, this is pretty good, which is very impressive. DeepL and Google Translate shreds the first step and have no hope on a round-trip this long across such unrelated languages. For example, DeepL outputs some gibberish about bear claws (the pastry) and bear cubs!?