2016: Our Year in Review

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Last year, while walking down the memory lane, we made an almost clairvoyant comment. We said,

“we can’t wait to start working on everything that we have planned for 2016 – we are certain that the new year is going to be even more exciting for us.”

And boy, has it been exciting! We have done so much – been to so many places! Between creating brilliant new features, researching the next level of technology innovation, accepting awards, making new partnerships, raising money for charity and attending trade fairs, shows and seminars, the team here at KantanMT has been busier than Santa’s little elves this year! Continue reading

An Evaluation of SMT in Medical Context

Master’s student Ewa Nitoń of the University College London submitted her thesis as part of the MSc degree in Scientific, Technical and Medical Translation with Translation Technology. The following guest article is a reflection on her research concerning the application of Machine Translation in medical context. Ewa was supervised by Teaching Fellow and Lecturer Dr. Emmanouela Patiniotaki and she used KantanMT.com for her MSc research. Continue reading

Why Neural Machine Translation (NMT) Might be the Next Big Step for the Industry

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Last month, Dr Dimitar Shterionov published an article on MultiLingual, a highly respected magazine on the localization industry, where he talks about the changing landscape of Machine Translation (MT) in the language industry, and how Neural Machine Translation (NMT) has very recently emerged as a revolutionary new paradigm in MT research.

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Let us take a look at some of the key points put forward by Dimitar and what is happening with NMT. Thanks to increasingly robust technological advancements, Machine Translated content has proven to be incredibly accurate, especially when compared to the output of traditional MT models.

What is Artificial Neural Network (ANN) and Neural Machine Translation (NMT)? Continue reading