Lokalise is a translation management system, which is designed to make the process of localization faster and easier. Our platform reduces manual work and routine tasks that appear while translating web and mobile apps, games, and other software.
With Lokalise you can: ✓ Translate your localization files (.xml, .strings, .json, .xliff, etc). ✓ Collaborate and manage all your software localization projects in one platform. ✓ Integrate translation into the development and deployment process. ✓ Set up automated workflows via API, use webhooks or integrate with other services (GitHub, Slack, JIRA, Sketch, etc). ✓ Add screenshots for automatic recognition and matching with the text strings in your projects. ✓ Upload Sketch artboards to Lokalise and allow translators to work before development starts. ✓ Preview in real-time how the translations will look like in your web or mobile app (iOS and Android SDK). ✓ Order professional translations from Lokalise translators or use machine translation.
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Watch this for a while, it randomly generates a bunch of triangles and circles, the ones that make it furthest to the right have their code passed onto the next generation with random mutations. In almost no time you'll have a bunch of cars that are evolved specifically for the niche of that track. No guidance needed. Source: 5 months ago
You can actually produce a better analogy with a genetic algorithm. In the linked example, you can watch the evolution of simulated cars. Just take note that while the simulation is a good illustration of evolution, it's also, by necessity, vastly simplified. (I guess running for about 4 billion years would incur off-putting cloud costs.). Source: 5 months ago
This really doesn't require a nural net. You can run similar learning algorithms in your browser. Source: 11 months ago
I learned about genetic algorithms: https://rednuht.org/genetic_cars_2/. Source: about 1 year ago
The idea is to introduce GAs visually first, and so I am hoping to rely on something entertaining (but somewhat abstracted away from them) for the GA itself. Something like this genetic cars algorithm comes to mind. Source: about 1 year ago
I'm pretty sure, you'll find companies like this one which provide a nice GUI for helping with l10n or this one which offers translation services or this page that offers to convert between different formats, one of which probably has a nice GUI tool. Found them by 20 secs of googling. Source: 11 months ago
Localise has no problem reading the json files or export to json, we recently started using it in collaboration with external translators. Source: 12 months ago
Actually I don't have "my" app. But in our app we use https://lokalise.com/ to localize it even to Norwegian. Our team is not the most expensive company in the world btw. And we don't have 1B+ users all over the world. Source: about 1 year ago
Internationalization (i18n) pain for a documentation project is a process problem, not a feature gap. Documentation frameworks are not meant to translate your developer docs for you into the language of your choice. Some frameworks might offer i18n support, like the Crowdin support in Docusauraus v2. With Jekyll, you have to pick a theme like this one. I doubt if the reST or adoc frameworks would differ much from... - Source: dev.to / over 1 year ago
I've been thinking about building a micro saas very similar to this after having so many issues coordinating the localization of several products I manage. The only robust options in the market are incredibly expensive (for example https://lokalise.com/). Source: over 1 year ago
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