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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 / 14 days 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 2 months 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
Ruby on Rails open source projects. Contribute and learn at the same time. - Source: dev.to / 6 days ago
Speed of Development: Frameworks such as Django or Rails accelerate the development process. - Source: dev.to / 7 days ago
This ecosystem is fueled by repositories hosting powerful languages, functions, and versatile tools—from backend frameworks like Django and Ruby on Rails to containerization with Docker and distributed version control via Git. Moreover, indie hackers can also utilize open source design tools (e.g. GIMP, Inkscape) and analytics platforms such as Matomo. - Source: dev.to / 9 days ago
Ruby on Rails (RoR) is one of the most renowned web frameworks. When combined with SQL databases, RoR transforms into a powerhouse for developing back-end (or even full-stack) applications. It resolves numerous issues out of the box, sometimes without developers even realizing it. For example, with the right callbacks, complex business logic for a single API action is automatically wrapped within a transaction,... - Source: dev.to / 19 days ago
As it's just you I'd stick with Ruby on Rails 8[1] as you already know it and I think it could realistically easily achieve what you're proposing. There's lots of libraries to for calling out external AI services. e.g. Something like FastMCP[2] From the sound of it that's all you need. I'd use Hotwire[3] for the frontend and Hotwire Native if you want to rollout an app version quickly. I'd back it with... - Source: Hacker News / about 2 months ago
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
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