The Phrase Localization Platform is a unique, AI-powered language platform that integrates translation, scoring, and automation tools in one place for businesses and language service providers. It offers scalability, a vendor-neutral approach, and advanced analytics for performance optimization. Ready-to-use with access to all of its key products, it facilitates easy start-up and rapid scaling.
With single sign-on (SSO) and an intuitive interface, Phrase provides a user-friendly, centralized ecosystem. The Phrase Localization Platform includes:
Phrase Translation Management System (Phrase TMS) Translation project management with industry-grade CAT tools
Phrase Strings Developer-friendly tool for software, games, and website copy localization
Phrase Orchestrator No-code, customizable workflows that automate your manual processes
Phrase Analytics Insightful data to optimize your cost, quality, and speed
Phrase Language AI Fast and secure machine translation tailored to your terminology
Phrase Custom AI AI powered machine translation, leveraging your own content
Phrase Portal Secure, immediate, and intuitive access to advanced localization technology
Phrase Quality Technologies Scores and checks to guarantee your content consistently meets quality standards
Integrations 50+ integrations with plug-and-play approach for rapid deployment
Phrase might be a bit more popular than Apertium. We know about 4 links to it since March 2021 and only 3 links to Apertium. 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.
This is very cool, looking forward to it! I've been doing the same thing with Spanish Wikipedia articles for a while, using a few lines of Bash + Regex. I was using Apertium for it. https://apertium.org/ It's definitely worse than most ML-based solutions, but it works reliably and fast; you can run it entirely offline. With Spanish translations, the main problem I was facing is lack of vocabulary, so I created - Source: Hacker News / 9 months ago
I used to keep track of the state of machine translation some years back. I think the way you measure the success of an automated translation is edit distance, i.e. How many manual edits you need to make to a translated text before you reach some acceptable state. I suppose it's somewhat subjective, but it is possible to construct a benchmark and allow for multiple correct results. The best resources I knew back... - Source: Hacker News / almost 2 years ago
Apertium is one of them. We make open-source rule-based machine translation systems, and our core tools are in C++. A few of our proposed ideas involve modifying those C++ tools with new features or improvements to existing features. Source: about 3 years ago
According to this article from Phrase, software localization is a process in software development that aims to adapt a web or mobile app to the culture and language of users in a target market. - Source: dev.to / 3 months ago
There are also backends / SaaS tools that offers some of the management for the translations, for example: https://phrase.com/ or https://locize.com/. Source: over 2 years ago
I’ve used https://phrase.com/. Was cool because it offered a nice API for automation of downloading translation updates. Source: over 2 years ago
You can give a try to formatjs that now includes react-intl or react-intl-universal by Alibaba. If you are looking for a ready to be consumed solution instead, I would suggest phrase.com. Source: about 3 years ago
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