Tony O’Dowd Talks About KantanNeural™

February 21, 2017February 27, 2017 KantanMT Interview, KantanMT News Automated Translation, automated translation technology, BLUE, Dimitar Shterionov, High Quality Translations, Innovation, Internet, KantanAnalytics, KantanLabs, KantanLQR, KantanMT, KantanNeural, Kantanwebinar, Kirti Vashee, Neural Machine Translation, Neural MT, Neural Network, New Feature, Project Management, Quality Metrics, Review, scoring, SMT, software, Statistical Machine Translation, Technology, terminology, Tony O' Dowd, Training, Translation, translation technology, translation trends, Trends, Webinar

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 →

5 Questions with Pat Nagle

February 17, 2017February 17, 2017 KantanMT Interview, KantanMT News Custom Machine, customise machine translation, Customised Machine Translation Engines, KantanLabs, KantanLibrary, KantanLQR, KantanMT Staff, KantanNeural, Localization, machine learning, Machine Translation, Neural Machine Translation, Neural Network, News, Pat Nagle, Professional Services, Project Management, Sherlock Holmes, staff, Technology, Translation, Webinar

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 →

5 Questions with Poulomi

February 3, 2017 KantanMT Interview, KantanMT News Author, Charlotte Brontë, CMT, Custom Machine Translation, fiction and fantasy, Gibson, Jane Eyre, JK Rowling, KantanFleet, KantanMT, Luna Lovegood, machine learning, Machine Translation, Marketing, Neural Machine Translation, NeuralMT, NMT, Philips Design Probe, Ravenclaw, science fiction, skin graft, Spray On Skin Technology, tattoo, Translation Automation, Trends, wearable technology, white paper, William Gibson

Our ongoing ‘5 Questions’ series will give you a better insight into the thoughts and ideas of the people at KantanMT. This week we are happy to introduce you to Poulomi Choudhury, who talks about Neural Machine Translation in KantanFleet™, her favourite technology and why she would prefer to be a ‘loony’ character from Rowling’s rich world of imagination. Continue reading →

Student Speak: Using MT for Game Localization

January 25, 2017April 21, 2017 KantanMT Guest Post, Interview, KantanMT News, University Partnership Academic Partnership, bilingual training data, Custom Machine, Customised Machine Translation Engines, DCU, Erasmus Study Programme, EU, European Commission, European Parliament, Gap Analysis, Giulia Mattoni, glossary, KantanLibrary, KantanLQR, Language Quality Review, Luxembourg, Machine Translation, monolingual training data, Post editing machine translation, Post-Editing, Prefessional Services Team, Technology, terminology, TMs, Training Data, transcreation, Translation Memories, translation technology, University, World Intellectual Property Organisation

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 →

Student Speak: Using KantanMT for Medical Domain

January 5, 2017 KantanMT Interview, University Partnership Academic Partnership, CMT, Custom Machine Translation, Custom MT, Gap Analysis, KantanAnalytics, KantanMT, KantanMT engine quality, Machine translation quality, MT, Post-Editing, Rome, SMT, Translation, UNINT, University of International Studies of Rome, University Speak

Fiorenza Miriam Catania, an Italian student at University of International Studies of Rome (UNINT) recently completed her Master’s thesis on Machine Translation output for the Medical domain. In this post, she shares her experience of using KantanMT for her research. Continue reading →

2016: Our Year in Review

December 20, 2016December 21, 2016 KantanMT KantanMT News Awards, charity, charity hike, CMT, Coastal Flag Challenge, Conference, Custom Machine Translation, Export Industry Awards 2016, Happy Holidays, hike, Innovation, Irish Software Association, Irish Software Awards 2016, Irish Times Innovation Awards 2016, KantanAcademy, KantanLabs, KantanMT, LavaCon, LocWorld, Looking Back, Merry Chistmas, Movember, MT, Neural Machine Translation, Neural Network, New Year, Research, TAUS, tekom, Thank you, Translating Europe Forum, TWBhike, Write2Users Conference, Year in Review

Last year, while walking down the memory lane, we made an almost clairvoyant comment. We said,

“we can’t wait to start working on everything that we have planned for 2016 – we are certain that the new year is going to be even more exciting for us.”

And boy, has it been exciting! We have done so much – been to so many places! Between creating brilliant new features, researching the next level of technology innovation, accepting awards, making new partnerships, raising money for charity and attending trade fairs, shows and seminars, the team here at KantanMT has been busier than Santa’s little elves this year! Continue reading →

An Evaluation of SMT in Medical Context

December 13, 2016December 15, 2016 KantanMT Guest Post, KantanMT News, University Partnership bilingual training data, BLEU, Dr. Emmanouela Patiniotaki, English, Ewa Nitoń, freelance, glossaries, Machine Translation, Medical, MemoQ, monolingual training data, Polish, Post mortem, Research, SDL Language Cloud, SDL Trados Studio, SMT, Statistical Machine Translation, stock data, Stock Engine, Student Speak, Technology, terminology, TM, Toxicology, Training Data, TS, UCL, University College London

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 →

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