Following our launch of KantanNeural™ engines as part of our KantanFleet™ repository of pre-built MT engines, we received a number of questions and interest around the product. To address these questions, we asked Tony O’Dowd, CEO and Chief Architect of KantanMT.com a few questions about the Neural Machine Translation engines on KantanMT, the features and benefits of these engines and the impetus behind launching KantanNeural. Continue reading
Our ‘5 Questions’ series is coming to an end, and this week we are happy to introduce you to Pat Nagle, who talks about some cool technology, his favourite KantanMT feature and lots more. The series aims to give you a better insight into the thoughts and ideas of the people at KantanMT. Continue reading
Amy Barter, a Transition Year Student from St. Josephs Mercy Navan spent this week learning about Machine Translation while on her TY Work Experience, 14 – 18 November 2016. We were delighted to have her in the office and really appreciated all her great help. She even had some time to blog about her experience. Continue reading
In the U.S., the number of people who speak a language other than English is believed to be at an all-time high. As of 2015, translation and interpretation service was predicted to be the fastest growing industry in the country by CareerBuilder, while the U.S. Bureau of Labour Statistics predicted a 46% increase in translation job opportunities in the U.S. between 2012 and 2022. However, all those positive predictions were before the U.S. Presidential Election of 2016. After a whirl-wind campaign, President Elect Donald Trump is all set to take up his Presidential Oath on 20 January, 2017. But what could this mean for those in the localization industry? Continue reading
Nikos Katris, submitted his thesis; ‘Evaluation of Two Statistical Machine Translation Systems within a Greek-English Cross-Language Information Retrieval Architecture’ to University of Limerick in October 2015. In his research he compared the results of KantanMT with the Moses system for information retrieval.
Nikos was supervised by Dr Richard Sutcliffe at the University of Limerick’s College of Science and Engineering Department of Computer Science and Information Systems (CSIS). Nikos kindly agreed to discuss his research in an interview. The University of Limerick and the Localisation Research Centre are KantanMT’s academic partners. Continue reading