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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.
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 ...
Compliance (medicine), a patient's (or doctor's) adherence to a recommended course of treatment; Compliance (physiology), the tendency of a hollow organ to resist recoil toward its original dimensions (this is a specific usage of the mechanical meaning) Pulmonary compliance (or lung compliance), change in lung volume for applied or dynamic pressure
Pipeline of Apertium machine translation system. This is an overall, step-by-step view how Apertium works. The diagram displays the steps that Apertium takes to translate a source-language text (the text we want to translate) into a target-language text (the translated text). Source language text is passed into Apertium for translation.
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.
A bilingual dictionary or translation dictionary is a specialized dictionary used to translate words or phrases from one language to another. Bilingual dictionaries can be unidirectional, meaning that they list the meanings of words of one language in another, or can be bidirectional, allowing translation to and from both languages ...
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder.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.