4 ms·
The examples of "failed attempts at creative synonyms for known phrases in the machine learning sector" seem the output of translating the text multiple times (
by gattilorenz 5y ago
The examples of "failed attempts at creative synonyms for known phrases in the machine learning sector" seem the output of translating the text multiple times (Language1->Language2->Language1), more than using a language model.
Why would GPT-3 or another language model use "profound neural organization", which is a non-existing term that it has never seen during training?
- lupire 5y agoIt is likely transation, not GPT, but 1. translation was considered a major axchievment in "AI" 10 years ago (not sure if it has "models", but I suspect yes) 2. are they sure its spinning (copying content via paraphrase/synonym) and not just bad translation from original Chinese?
- gus_massa 5y agoI agree. It looks like bad translations. Here in Argentina we use a lot of loaned words from English for technical terms, sometimes I don't know which is the official translation to Spanish. But in Spain, they like to translate everything, so sometimes reading technical stuff in es-es is difficult. And if you blindly translate from es-es to English, you may get surprising results. I sometimes write an early draft of a paragraph in es-ar, and then autotranslate it to English. The autotranlation handles the easy part, like word for word substitution and reorder noun-adjective to adjective-noun, but it needs a lot of further fixes to get a good translation. Technical words are sometimes messed, so it's important to double check them. Also, errors that are small typos in Spanish sometimes are translated to very things, that also cause weird results. (For example "cOsa"->"thing", but "cAsa"->"house".)