Machine translation is generally used for subject-specific cases and this is where results and productivity rates are spectacularly higher. It allows individuals and companies to tailor their work according to the topic.Although simultaneous-translation seems to be at the height of the translating industry’s innovation, machine translation remains an extremely sought-after technology; Microsoft’s Translator API (application programming interface) alone attracts over 10,000 commercial users. Its increasing investment in this field may have to do with the accumulation of information on the Internet and the value of social media- for example Amazon, Facebook, and Twitter have integrated Microsoft’s Translator Hub into their websites. Our machine translation division PangeaMT has been a leader in developing, fast-training and self-updating (DIY SMT) routines since 2011. This allows users to create small engines with their own material (TMX bilingual files) whilst profiting from the language coverage offered by larger engines – with a very rich set of quality features and functionalities.
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