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Machine translation service
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What is it?

This project explores the potential of machine translation technology for journalists and their audiences.

What did I do?

Direct a 4-week project comprising a range of research methodologies, including workshops, desk research and user interviews.

The research would formulate the basis for a series of proof of concept user interfaces to be tested with journalists to validate the initial product hypothesis.

What was the outcome?

Due to unforeseen global events, user interviews were drastically cut down in numbers, forcing the research to rely more heavily on data reports, conventional desk investigation and being resourceful.

One potential user base for the service was journalists from multilingual regions, researching news stories occurring locally, only initially published in a different language to their own.

With a popular readership and operaing in seven regional languages, BBC India was a strong contender to test this hypothesis.

To prove this, I screenshot the entire front page of each of the 7 Indian languages websites BBC News publishes.

Using Google translate, I highlighted each news story that appeared on more than one of the seven websites. To my surprise, there were dozens of articles.

BBC News India is a product that takes all BBC stories from across the 7 Indian languages and translates them into one timeline, so Indian journalists can track breaking news stories that may interest their readership in their language.



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