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Cloud Machine Translation Platform KantanMT Releases Powerful API for Members


Monday, 10 June, 2013

Xcelerator Machine Translation Ltd. is pleased to announce the release of the KantanMT API. Using innovative technology developed by KantanMT, the REST-based API gives mid-sized LSPs the opportunity to integrate KantanMT into their localisation workflow systems, creating on-demand machine translation services for their clients.


“LSPs are using KantanMT.com as a platform to help optimize their localisation workflows and improve project turn-around times for their clients" said Tony O’Dowd, Founder and Chief Architect at KantanMT. “This enables them to combine existing localisation workflows with the power of KantanMT engines; improving their service offerings for their clients and helping them achieve higher levels of translation automation; a key competitive advantage for our members.”


The REST-based API enables KantanMT members develop customized localization solutions for their clients using HTTP GET and POST requests. These can be developed using most modern programming languages and frameworks such as Java, JavaScript, .NET, C#, C++, VisualBasic, PHP and Perl. Members can also create API plugins for their preferred CAT (Computer Assisted Translation) environments.


For more information about the KantanMT API or to request an API token please contact Kevin McCoy, Customer Relationship Manager([email protected]).


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.