An MT engine that is well-trained in translating for a specific sector is capable of producing information that can generally be understood. at hand—localizing support pages—this is precisely the point.
The language on a support page doesn’t need to have the polish and style of, say, ad copy, after all. It simply needs to be understandable enough for users to know what to do without having to open a ticket for human assistance. MT today is more than capable of doing this, compared to the past decade, or even the past five years.
Zendesk is able to create support pages in a different language albania mobile database that are of adequate quality for use, largely through machine translation. That in itself is a remarkable feat, and makes a good case for allaying the fear of stakeholders who are still skeptical or on the fence when it comes to using machine translation in their own business.
Key Takeaways
Zendesk’s strategy shows how far machine translation has come in providing solutions for a business setting, and the unique and original use cases to which it could be put.
Other companies should take note of how well Zendesk has been able to integrate MT into their process for developing support pages, if not as a blueprint for their own use, then at least as a positive example of machine translation’s usefulness as an industrial tool.