Based on our record, BitBucket seems to be a lot more popular than Apertium. While we know about 73 links to BitBucket, we've tracked only 3 mentions of 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.
We must be careful that the value, worth, and success of open-source projects are not measured by vanity metrics such as stars on GitHub or attempts at gaming the GitHub trending algorithm. For one thing, not all open source worth investment happens on GitHub, there are also platforms such as GitLab, Codeberg, and BitBucket where a lot of great work is being done. Some people also overblow the success of a... - Source: dev.to / about 2 months ago
Bitbucket — Unlimited public and private Git repos for up to 5 users with Pipelines for CI/CD. - Source: dev.to / 3 months ago
Atlassian Tweaks is a collection of userscripts and userstyles, developed by myself and my colleagues, which tweak some things and reduce friction in our Jira, Bitbucket, and Confluence workflows at our $DAYJOB. These scripts and styles were originally written for the self-hosted versions of the Atlassian services. However, most of scripts and styles support the Cloud versions as well. Screenshots, descriptions,... - Source: Hacker News / 4 months ago
The "space" that we have been referring to, can be any of the following: GitHub, GitLab, BitBucket, and many more. For this blog, we will stick to GitHub, since that's more beginner-friendly. - Source: dev.to / 5 months ago
BitBucket: An alternative to GitHub, personally I would use BitBucket for private projects and use GitHub for public projects. - Source: dev.to / 8 months ago
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
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Microsoft Translator - Microsoft Translator is your door to a wider world.
Gitea - A painless self-hosted Git service
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.