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 →

Interview with Language Industry Veteran and GALA Executive Director – Laura Brandon

December 6, 2016 KantanMT Interview #SaveWithGALA, AALC, American Translator Association, ATC, Atletico, community, Custom Machine Translation, GALA, GALA members, Globalization and Localization Association, language, Language Service Provider, Language Technology, Laura Brandon, LSP, LT-Innovate, Machine Translation, non-profit, Partner, TAPICC, TAUS, Technology, University of Washington

It’s coming to the end of a successful year and we are beginning to look back on our partnerships. We understand that being part of a network of experts, practitioners, solution providers and thought leaders is a very powerful tool for success. So, we were delighted catch up with Laura Brandon, Executive Director for the Globalization and Localization Association (GALA) to find out more about GALA, its purpose, benefits of membership and future plans. Continue reading →

Interview with Nikos on Cross-Language Information Retrieval

November 11, 2016 KantanMT Guest Post, Interview, University Partnership Acamedia.edu, Automated Translation, BLEU, CLIR, Cross-Language Information Retrieval Architecture, Dr Richard Sutcliffe, EMA, European Medicines Agency, F-measure, Google, Greek, information retrieval, Information System, Interpretation and International Relations of City Unity College, IR, KantanMT, KantanMT F-measure, Localization, Machine Translation, Moses, Multilingual Computing, natural language processing, Nikolaos Katris, NLP, Quality Metrics, Translation, Translation Memories, University of Limerick, University Partnership

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 →

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