GitPrime
Waydev
LinearB
Haystack Analytics
CodeClimate
Swarmia
OKAY HQ
SonarQube
Apertium
Google Translate
DeepL Translator
Microsoft Translator
Yandex.Translate
LibreTranslate
Lingva Translate
Bing Translator
GitPrime
ApertiumGitPrime is recommended for engineering managers, team leads, and project managers who are looking for data-driven insights to understand and enhance the productivity of their software development teams. It's particularly useful for medium to large teams where it's critical to evaluate performance metrics objectively and address inefficiencies proactively.
Apertium is recommended for researchers, developers, and users interested in rule-based translations, especially for lesser-resourced language pairs. It's particularly useful in academic and experimental settings, or for those seeking an open-source alternative to commercial translation tools.
Based on our record, Apertium seems to be more popular. It has been mentiond 3 times since March 2021. 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 / about 3 years 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 / about 4 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: over 5 years ago
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
Haystack Analytics - Software Delivery Analytics Tool for Engineering Teams. Deliver Software Faster, Better, and more Predictably.
Microsoft Translator - Microsoft Translator is your door to a wider world.