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Based on our record, Google Translate seems to be a lot more popular than Cloud Translation API. While we know about 509 links to Google Translate, we've tracked only 15 mentions of Cloud Translation API. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Additionally, YouTube’s system supports multiple languages and is regularly updated to include new ones. This multilingual capability is made possible by training models on diverse datasets and leveraging translation technologies like Google Translate. - Source: dev.to / 1 day ago
20 years ago, in simpler times, people were sharing badly done human translations: https://archive.org/details/engrishtwotowerssubtitles And just plain mistakes: http://news.bbc.co.uk/2/hi/7702913.stm I've also encountered a case of real paid humans translating the English word "drake", in a mythological context where it was obviously a dragon, as if it were used in the sense of "male duck". Myself, I decided to... - Source: Hacker News / about 1 month ago
As stated in the video, it translates to 'beach beast'. What I find remarkable is how difficult it seems for a lot of native English speakers to correctly pronounce the word. https://translate.google.com/?sl=nl&tl=en&text=strandbeest&op=translate. - Source: Hacker News / 5 months ago
*Automating Translation with Machine Translation Systems * Integrating machine translation can significantly speed up the localization process. Tools like Lingvanex, Google Translate, or DeepL offer APIs that enable instant translation. However, it’s not enough to simply “turn on” machine translation—you need to integrate it thoughtfully for maximum impact. - Source: dev.to / 5 months ago
答: 水! But! My experience with LLM translation is much the same as with LLM code generation or GenAI images: anyone with actual skill in whatever field you're asking for support with, can easily do better than the AI. It's a fantastic help when you would otherwise have an intern, and that's a lot of things, but it's not the right tool for every job. * I assume this is grammatically gibberish in Chinese, I'm relying... - Source: Hacker News / 6 months ago
On this family summer trip to Asia, I've admittedly been relying heavily on Google Translate. As someone who lives in the world of APIs, that makes me think of "its API,"^ the Google Cloud Translation API. Pure translation, though, is not the same as finding the right words (although they're similar), and that makes me think of natural language understanding (NLU). When considering NLU and NLP (natural language... - Source: dev.to / 10 months ago
Dude just leave, if you want to know what the snake is saying use https://cloud.google.com/translate. Source: over 1 year ago
ChatGPT isn't the only AI in town and there are services optimized for translation that might work better for this use case. Some accept HTML, PDF, etc. And send back a translation of the content. Google's is available here: https://cloud.google.com/translate That being said, taking something in French that is intensely academic and converting it to English might not be a straight-up translation task - having... - Source: Hacker News / about 2 years ago
Also machine translation at scale isn't free. Using Google translate word by word isn't how large translations are done. People pass text to # paid service like the Google Translation API: https://cloud.google.com/translate. Source: over 2 years ago
You need a 2-steps pipeline. First a speech to text. Then text translation. You can use existing Google APIs for both. There are many other options available. Https://cloud.google.com/speech-to-text Https://cloud.google.com/translate. Source: over 2 years ago
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