DCU Masters students experiment with Machine Translation on KantanMT.com
Xcelerator Machine Translations Ltd., announced today that DCU students carrying out their MA and MSc’s in Translation studies are experimenting with Machine Translation using the KantanMT.com platform.
Lead by Dr. Dorothy Kenny and Dr. Stephen Doherty, over 50 post graduates are learning to train machine translation engines in a variety of different languages and gaining first-hand experience using the latest KantanMT technology.
“There is rapid technological shift towards more automated translation within the industry”, said Dr. Kenny, “ and we want our students to graduate fully aware of the latest fusion of Machine Translation technology and the cloud. It’s important that they are comfortable with the use of Machine Translation as a way to improve translation productivity. ”
Kenny and Doherty gave very encouraging feedback from their experiences teaching with KantanMT highlighting their favourite features as “the intuitive and easy to navigate user interface and the speed of use.” Within a one hour lab, the majority of students were able to build their first engine, allowing time in future labs to study KantanMT quality evaluation metrics, another feature which was highly rated by both lecturers.
“KantanMT is delighted to lend its machine translation platform for education and are open to partnerships with other academic institutions”, said Tony O’Dowd, Founder and Chief Architect at KantanMT.
What is KantanMT™?
KantanMT is a cloud-based implementation of Moses statistical Machine Translation technology. Leveraging the power and flexibility of the cloud, KantanMT effortlessly scales to generate a high-quality, low-cost Machine Translation platform for small-to-medium sized Localisation Service Providers.
What is Xcelerator?
Xcelerator Machine Translations Solution is a new start-up that is focusing on making Machine Translation easy to use, inexpensive to access and available to mid-sized LSPs that are eager to integrate MT into their client’s localisation workflows. Xcelerator is focusing on the growing number of small-to-medium sized language service providers (LSPs) that want to – or must – offer machine translation to their clients.
Recent research on pricing shows that while a very small percentage of translation agencies use MT on every job, nearly a quarter of small LSPs, and more than half of medium-sized LSPs, will apply it if requested to do so by their clients. However, most providers don’t have the technical expertise to install an MT solution, train engines for their clients, and integrate it with their workflow. Xcelerator aims to fill that gap.