Apertium
Google Translate
Microsoft Translator
DeepL Translator
Yandex.Translate
Crowdin
Bing Translator
Crow Translate
Amazon Translate
Google Translate
Microsoft Translator
Yandex.Translate
Bing Translator
Babylon
SYSTRAN
DeepL Translator
Apertium Amazon TranslateAmazon Translate might be a bit more popular than Apertium. We know about 4 links to it since March 2021 and only 3 links to 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.
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 / 8 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
Amazon Translate Enables Tagging Support for Parallel Data and Custom Terminology. Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today, we are launching support of tagging for custom terminology and parallel data resources and then allow/restrict access on them based on the tags. - Source: dev.to / over 1 year ago
Very nice. I like the simplicity. For larger projects automation is key, though. I prefer humans but sometimes where the budget doesn't permit it, I use AWS Translate https://aws.amazon.com/translate/ - it works well when integrated with automated tools. - Source: Hacker News / over 1 year ago
Right, google translate probably better in this case. DeepL perhaps handy here and there when a translation seems botched. There's also Amazon Translate now but I haven't tried it yet. Source: over 1 year ago
There are also AI translation services like AWS Translate which could be used to Add foreign subtitles automatically to a video. - Source: dev.to / almost 2 years ago
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.
Yandex.Translate - Yandex.Translate is an online dictionary and translation solution.
Bing Translator - Instantly translate your text from one language to another with Bing Translator.
Crowdin - Localize your product in a seamless way