Features of machine translation (MT) implementations and project efforts in official settings, regardless of jurisdiction, are guided by at least three attributes common to administration of authority.
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Machine translation as a service can be either a byproduct for some teams and companies that develop MT technology for above mentioned use cases, or they focus on MT technology development
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For the category of workflow optimization, the main criterion is “cost”, but also “revenue”. To achieve that, MT use is put in the different workflows to minimize human involvement
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The category of use cases that try to cope with the “big data” challenge is mainly trying to make large data available to more potential consumers of these data.
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During the last couple of years, machine translation post-editing has become one of the hottest most discussed topics in the translation industry as evidenced by conferences, forums and webinars.
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