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Step 3 is the final exam in the USMLE series of examinations. It is part of the licensing requirements for Doctors of Medicine (M.D.), including international medical graduates aiming to practice medicine in the United States. Generally, it is a pre-requisite of the majority of the state licensing boards.
Medical translation is the practice of translating various documents—training materials, medical bulletins, drug data sheets, etc.—for health care, medical devices, marketing, or for clinical, regulatory, and technical documentation.
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
PILLS (Patient Information Language Localisation System) is a one-year effort by the European Commission to produce a prototype tool which will support the creation of various kinds of medical documentation simultaneously in multiple languages, by storing the information in a database and allowing a variety of forms and languages of output.
Logos Corporation was founded by Bernard (Bud) Scott in 1970, who worked on its Logos Machine Translation System until the company's dissolution in 2000. The project began as an English-Vietnamese translation system, which became operational in 1972 (during the American- Vietnam War ), and later was developed as a multi-target translation ...
The new translation engine was first enabled for eight languages: to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish in November 2016. [24] In March 2017, three additional languages were enabled: Russian, Hindi and Vietnamese along with Thai for which support was added later.
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In a rule-based machine translation system the original text is first analysed morphologically and syntactically in order to obtain a syntactic representation. This representation can then be refined to a more abstract level putting emphasis on the parts relevant for translation and ignoring other types of information.