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In some cases, the translation is only accepted as a legal equivalent if it is accompanied by the original or a sworn or certified copy of it. Even if a translator specializes in legal translation or is a lawyer in their country, this does not necessarily make them a sworn translator. The procedure for translating to legal equivalence differs ...
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.
Although Google has deployed a new system called neural machine translation for better quality translation, there are languages that still use the traditional translation method called statistical machine translation. It is a rule-based translation method that uses predictive algorithms to guess ways to translate texts in foreign languages.
Note that Hindi–Urdu transliteration schemes can be used for Punjabi as well, for Gurmukhi (Eastern Punjabi) to Shahmukhi (Western Punjabi) conversion, since Shahmukhi is a superset of the Urdu alphabet (with 2 extra consonants) and the Gurmukhi script can be easily converted to the Devanagari script.
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 ...
[a] Fidelity is the extent to which a translation accurately renders the meaning of the source text, without distortion. Transparency is the extent to which a translation appears to a native speaker of the target language to have originally been written in that language, and conforms to its grammar, syntax and idiom.
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2]
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.