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DeepL Translator is a neural machine translation service that was launched in August 2017 and is owned by Cologne-based DeepL SE. The translating system was first developed within Linguee and launched as entity DeepL. It initially offered translations between seven European languages and has since gradually expanded to support 33 languages.
DeepL Translator, which was at the time based on a CNN encoder, was also released in the same year and was judged by several news outlets to outperform its competitors. [ 28 ] [ 29 ] [ 30 ] It has also been seen that OpenAI 's GPT-3 released in 2020 can function as a neural machine translation system.
Microsoft Translator or Bing Translator is a multilingual machine translation cloud service provided by Microsoft.Microsoft Translator is a part of Microsoft Cognitive Services [1] and integrated across multiple consumer, developer, and enterprise products, including Bing, Microsoft Office, SharePoint, Microsoft Edge, Microsoft Lync, Yammer, Skype Translator, Visual Studio, and Microsoft ...
Medical translation steps can include: Extracting text from the source format; Translating text to the target language; Editing by a separate person to assure adherence to approved terminology and proper style and voice; Publishing the translation in the original format (e.g., Word document, Web page, e-learning program)
Google Translator Toolkit by default used Google Translate to automatically pre-translate uploaded documents which translators could then improve. Google Inc released Google Translator Toolkit on June 8, 2009. [2] This product was expected to be named Google Translation Center, as had been announced in August 2008.
Google Translate is a web-based free-to-use translation service developed by Google in April 2006. [12] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation (SMT) service. [12]
Regulatory translation is the translation of documentation pertaining to the approval and compliance of medical devices, pharmaceuticals and in vitro diagnostics products. Many countries around the world, including Japan and the United States, require that approval dossiers for new products be submitted in local languages for the regulatory bodies to read and analyze.
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.