Peter Coyle, a Transition Year student from Blackrock College spent a week at KantanMT, learning about the language and localization industry and the KantanMT technology. We were delighted to have him in our office and really appreciated the hard work he put in during his time here. While Peter had a packed schedule over the week, he found some time to blog about his TY work experience with us. Read his opinion about KantanMT, the ever-changing world of technology and his key takeaways from the work experience.
Giulia Mattoni, an Italian Translation Technology student from DCU talks about her experience using Machine Translation for evaluating player support content localization. Giulia’s fascinating view illustrates why this area needs further research, and how she used KantanMT to evaluate MT and post-editing for this type content. Continue reading
Master’s student Ewa Nitoń of the University College London submitted her thesis as part of the MSc degree in Scientific, Technical and Medical Translation with Translation Technology. The following guest article is a reflection on her research concerning the application of Machine Translation in medical context. Ewa was supervised by Teaching Fellow and Lecturer Dr. Emmanouela Patiniotaki and she used KantanMT.com for her MSc research. 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
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
The Rosetta stone paradigm translations. Hans Hillewaert Wikimedia (CC)
This article is written by José Pichel Andrés and was originally published in Spanish in the online journal, El Español. It has been translated into English by Carlos Collantes from the Professional Services team at KantanMT. The article has been edited slightly for readability, but we have made all attempts possible to retain the original flavour of José’s article.
Researchers today are redefining Machine Translation. Though it is still a far cry from being completely satisfactory, it displays a rapid development, thanks to new systems like Neural Networks. Continue reading
When we’re talking about Business Intelligence, self-service is an approach to data analytics that plays a vital and extremely beneficial role within an enterprise because it allows for immediate decision making. No-wait decision-making is a enormous contributor for a company’s bottom-line. Self-service allows business users to retrieve, interact and collaborate with company information without having to rely on IT assistance.
Thanks to self-service, IT personnel can focus their energy on more large-scale responsibilities that benefit the entire enterprise, like setting up the data warehouse and data marts underpinning the BI system, for example, while other team-members can work more strategically and efficiently. Quality data preparation tools are imperative to the independence of business users and integrated tools allow users to operate, analyze, change and calculate data sets quickly using GUI’s to alternate between data prep and visualization screens with just one click.
BI is becoming more intertwined with self-service which should be no surprise since it enables data analysis to be more streamlined and keeps companies optimally responsive, efficient and agile. Self-service data-discovery tools allow decision-makers to tap into the information they require which enhances their success. Self-service also helps a company to realize reduced administrative burdens, shortened timelines and the emergence of deeper insights.