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The need for localization quality at an increasing scale inspired us to build and launch HERMES, the first online subtitling and translation test and .
We’re pleased to introduce HERMES, the first online subtitling and translation . The need for localization quality at an increasing scale inspired us to build and launch HERMES, the first online subtitling and translation test and indexing system by a major content creator.
We’re pleased to introduce HERMES, the first online subtitling and translation test and indexing system by a major content creator. Since Netflix launched globally, the scale of our localization efforts has increased dramatically. HERMES was to be the first online subtitling and translation test and indexing system established by a major content creator. The test was broken into 5 phases and required about 90 minutes to complete. HERMES challenged the world’s translators to test their chops.
Netflix’s Hermes project was designed to help Netflix test, train and onboard the best translators around the globe but came to an abrupt close in March 2018. Here’s why. Research at UCL by Professor Jorge Díaz-Cintas has led to the first ever online subtitling test and indexing system – Hermes – that has been used by Netflix and the wider media localization industry, to assess the linguistic and translational .Professor Jorge Díaz-Cintas’s research led to the first subtitling test Hermes, used by Netflix and the media localization industry, to assess the linguistic and translational abilities of subtitlers. [META] Netflix unveils HERMES, an online test for vetting professional subtitlers; each Netflix subtitler will be required to have a HERMES test score by summer (Signup page is linked is in the last line)
HERMES tests applicants on their ability to understand English, identify linguistic and technical errors and translate idioms into target languages. In an example taken from the test, one question asks a prospective translator to match up the idiom “made a killing” with its Norwegian equivalent.
It asks multiple choice questions to test how well prospective translators can understand English, and identify linguistic and technical errors and their subtitling proficiently. The Hermes project was supposed to improve the subtitles quality, but it seem to have gained no traction. AFAIK even the translators who passed the tests are not currently translating anything. Does anyone know what is the current status of the project? The need for localization quality at an increasing scale inspired us to build and launch HERMES, the first online subtitling and translation test and indexing system by a major content creator.
We’re pleased to introduce HERMES, the first online subtitling and translation test and indexing system by a major content creator. Since Netflix launched globally, the scale of our localization efforts has increased dramatically.
HERMES was to be the first online subtitling and translation test and indexing system established by a major content creator. The test was broken into 5 phases and required about 90 minutes to complete. HERMES challenged the world’s translators to test their chops. Netflix’s Hermes project was designed to help Netflix test, train and onboard the best translators around the globe but came to an abrupt close in March 2018. Here’s why. Research at UCL by Professor Jorge Díaz-Cintas has led to the first ever online subtitling test and indexing system – Hermes – that has been used by Netflix and the wider media localization industry, to assess the linguistic and translational .Professor Jorge Díaz-Cintas’s research led to the first subtitling test Hermes, used by Netflix and the media localization industry, to assess the linguistic and translational abilities of subtitlers.
[META] Netflix unveils HERMES, an online test for vetting professional subtitlers; each Netflix subtitler will be required to have a HERMES test score by summer (Signup page is linked is in the last line)HERMES tests applicants on their ability to understand English, identify linguistic and technical errors and translate idioms into target languages. In an example taken from the test, one question asks a prospective translator to match up the idiom “made a killing” with its Norwegian equivalent. It asks multiple choice questions to test how well prospective translators can understand English, and identify linguistic and technical errors and their subtitling proficiently.
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