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E.g., 03/31/2020

Kantan BuildAnalytics Enriched with New Heuristic Technology


Wednesday, 12 February, 2014

KantanMT, a leading cloud-based Statistical Machine Translation provider today announced the launch of ‘Insights’, the first user facing Machine Translation (MT) heuristic quality analysis technology. The new technology offers user’s invaluable information with which to improve the performance of their MT engines and deploy production ready engines faster.

“The importance of Insights will be critical in 2014 as increasing numbers of LSPs sign up to KantanMT.com,” said Tony O’Dowd, Founder and Chief Architect, KantanMT. “More and more companies are beginning to experiment with Machine Translation on KantanMT, and this type of technology will see them moving much faster from the experimental phase to the full production and deployment phase."

Insights is an addition to the Kantan BuildAnalytics technology, released in January 2014, and can be accessed in the summary area of the BuildAnalytics report. This technology helps members to easily identify any underlying problem areas within their Machine Translation engine and make quick improvements by incorporating the suggestions highlighted in the ‘Insights’ panel on the screen.

Insights helps KantanMT users to:

  • Assess the fluency and word recall of their KantanMT engines
  • Gain a better understanding of the performance of their MT engines
  • Identify methods of improving engine quality
  • Estimate post-editing effort

For more information on Insights, MT quality estimation technology or improving KantanMT engine performance, please email Niamh ([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 organizations and small-to-medium-sized localization service providers. According to the research firm, Markets and Markets, the natural language processing sector will grow from €2.8 billion in 2013 to €7.4 billion in 2018, representing a compound annual growth rate of 21.1 percent.