E.g., 04/08/2020
E.g., 04/08/2020

KantanMT Enhances Machine Translation Platform to Support Japanese


Tuesday, 23 July, 2013

Xcelerator Machine Translations Ltd. today announced the introduction of a Japanese tokenizer and detokenizer to its KantanMT platform. These enhancements to the cloud-based platform mean that members will now be able to build Japanese Machine Translation engines as both a source and a target language, giving them the opportunity to develop new business with a growing Japanese client base.


Translation Industry professionals are developing an increased awareness of the growing demand for Japanese Machine Translated content. This is resulting in many LSPs restructuring their business strategies to incorporate a much stronger focus on Machine Translation. The inclusion of Japanese on KantanMT.com offers members a more comprehensive language coverage and gives them the ability to respond to the growing demand for Japanese Machine Translation services.


“The team at KantanMT is continuously aiming to improve and enhance the KantanMT platform”, says Tony O’Dowd, Founder and Chief Architect of KantanMT.com. “We are delighted to be able to expand the number of supported languages for our members, and promise to continue to do it as we move forward".


For more information, please go to www.KantanMT.com , or contact Niamh Lacy ([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.