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KantanMT SDK Version 1.1 now available

KantanMT


Tuesday, 16 July, 2013

Xcelerator Machine Translation Ltd. is pleased to announce the release of the KantanMT API Version 1.1. The latest version of the REST based API will enable KantanMT members to seamlessly integrate MT into their localisation workflow systems and help them to improve their translation productivity and throughput.

 

The KantanMT API is used to integrate KantanMT engines into content management systems or localisation workflows and has been enhanced with two powerful new features that support file-based translation and launching of KantanMT translation jobs programmatically. Leveraging the distributed architecture of KantanMT, and using the RESTful API, KantanMT members can now programmatically control all aspects of their MT process.

 

“We [MediaLocate ] ran MT tests across 12 languages and the results were extraordinary. “, said Marcelo Rizzo, Information Architect at Medialocate, “ KantanMT support is phenomenal, and with the addition of the API, integrating KantanMT into our translation management system will be a breeze.”

 

For more information about the KantanMT API or to request an API token please contact Kevin McCoy, MT Success Coach ([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.
 

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