![]() The result? Translations that were much more faithful, even factoring in slang and colloquialisms. Instead of translating each word, it looked at the meaning of the entire sentence. The move made leaps and bounds in its algorithm and changed its approach to translation. 10 years later, in 2016, the company developed its own framework, Google neural machine translation technology (GNMT). Google knew they needed to swap machine translation (MT) technologies to improve its accuracy. But it began to offer odd translations for longer, complex sentences. Since it translated individual words, it worked most efficiently for brief phrases. But, it soon became clear that this wasn’t going to work in the long term. ![]() When it first launched in 2006, it used statistical machine translation to provide instant translated text. Apart from that, it relies on various digital resources and common translations for languages. If you are not the copyright holder of the subtitle file, please check with the owner for permission before uploading or translating them.Ever wondered how Google Translate built its translation database? It’s heavily based on the Europarl Corpus, which is a collection of documents from European Parliament procedures that humans translated. Note: When uploading any subtitle file, you are solely responsible for ownership and permission to apply translation on the uploaded file. These are only kept for auditing and recovery processes, and are not shared with, nor accessible to any other third party companies. Where the translated subtitles are stored on my server for upto seven days from the date of translation. Important: The only exception to this rule are the paid translations. Please refer to their privacy policies for more details. Similarly, other API based translators (DeepL, Azure OpenAI, etc) may also store the translated content to improve their results. ![]() This service however uses Google and Yandex translation widgets,Īnd these services may store and processes the content being translated to improve their services. I personally don't collect and share information about any of the subtitle files being uploaded and translated. Works best for your desired language pair. Nearly all the translators here have a free/demo mode here, where you can translate few dozen lines to see which one So, I guess the simple answer is to "Try it yourself!". It's also the cheapest one in the paid translators category. Translator seems to work best for asian languages like Chinese, Arabic, Urdu, etc. Yandex is normally better for Russian, and recently the Chat-GPT Again, a native language speaker can answer this best, but based on the usersįeedback over the years on my website, it looks like DeepL is mostly the best option for the European languages. Please note that AI based translation also highly depends on the source and target language pairs. DeepL is currently the most expensive one, but is also arguably the best translator for its supported Translators - both of which are free and reasonably accurate. Normally, the cost is the primary factor, and when that's the case, nothing can be best the Google and Yandex Unfortunately, it's not that simple question to answer.
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