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Apertium VS S3.Translator

Compare Apertium VS S3.Translator and see what are their differences

Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apertium logo 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.

S3.Translator logo S3.Translator

S3.Translator is a browser extension that allows you to translate a text into any language that the user speaks.
  • Apertium Landing page
    Landing page //
    2023-06-27
  • S3.Translator Landing page
    Landing page //
    2023-08-23

Apertium videos

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Ubuntu'ya Apertium Kurulumu

S3.Translator videos

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S3.Translator bug

Category Popularity

0-100% (relative to Apertium and S3.Translator)

Apertium

S3.Translator

Languages
68 68%
Languages
32% 32
Translation Service
70 70%
Translation Service
30% 30
Translation
100 100%
Translation
0% 0
Translation Management
42 42%
Translation Management
58% 58

User comments

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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.

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

S3.Translator mentions (0)

We have not tracked any mentions of S3.Translator yet. Tracking of S3.Translator recommendations started around Aug 2021.

What are some alternatives?

When comparing Apertium and S3.Translator, you can also consider the following products

Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.

Ludwig.guru - Linguistic search engine and contextualized translator. The final solution for your writing doubts!

DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.

Mate Translate - Ultimate translation app for Mac, iOS, Chrome and many more

Microsoft Translator - Microsoft Translator is your door to a wider world.

Lingvanex - Translation apps for business, travels, professional translators, students and free style people.

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