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Apertium VS TranslateYou

Compare Apertium VS TranslateYou and see what are their differences

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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.

TranslateYou logo TranslateYou

Translate You is a Translator App built with Material Design 3 (You) using the LibreTranslate API.
  • Apertium Landing page
    Landing page //
    2023-06-27
  • TranslateYou Landing page
    Landing page //
    2023-09-07

Apertium videos

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Ubuntu'ya Apertium Kurulumu

TranslateYou videos

No TranslateYou videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apertium and TranslateYou)

Apertium

TranslateYou

Languages
80 80%
Languages
20% 20
Translation Service
82 82%
Translation Service
18% 18
Translation
79 79%
Translation
21% 21
Translation Management
100 100%
Translation Management
0% 0

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

TranslateYou mentions (0)

We have not tracked any mentions of TranslateYou yet. Tracking of TranslateYou recommendations started around Dec 2022.

What are some alternatives?

When comparing Apertium and TranslateYou, 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.

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

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

LibreTranslate - LibreTranslate is a free and open-source and self-hostable machine translation server. It also has a public instance designed for personal or infrequent use.

Yandex.Translate - Yandex.Translate is an online dictionary and translation solution.

LibreTranslator - Android translation app with translations from LibreTranslate

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