MateCat VS Apertium

MateCat

The MateCat home page allows users to quickly create translation projects in all the language combinations and file formats supported by the platform, and to create or select translation memories and glossaries.

Apertium

To see the whole list of general documentation pages written in English, see documentation in English. Pour ceux qui sont plus à l'aise avec la langue française, une partie des pages anglaises a été traduite.

Not present

Landing page //
2023-06-27

Webinar: Getting Started with MateCat!

Apertium videos

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Ubuntu'ya Apertium Kurulumu

Category Popularity

0-100% (relative to MateCat and Apertium)

MateCat

Apertium

Localization

100 100%

Localization

0% 0

Translation Service

11 11%

Translation Service

89% 89

Website Localization

100 100%

Website Localization

0% 0

Languages

0 0%

Languages

100% 100

User comments

Share your experience with using MateCat and Apertium. For example, how are they different and which one is better?

Social recommendations and mentions

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.

MateCat mentions (0)

We have not tracked any mentions of MateCat yet. Tracking of MateCat recommendations started around Mar 2021.

Apertium mentions (3)

Ask HN: Tell us about your project that's not done yet but you want feedback on
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
Show HN: Unlimited machine translation API for $200 / Month
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
Google Summer of Code 2021 Mentoring Orgs announced!
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