2017 EAMT Best Thesis Award
The EAMT invites entries for its 2017 EAMT Best Thesis Award for a PhD or equivalent thesis on a topic related to machine translation [more]
Machine Translation Summit XVI: Nagoya University, Japan, September 18 - 22, 2017
The 16th Machine Translation Summit, organized by the Asia-Pacific Association for Machine Translation (AAMT), will be held at Nagoya University, Japan, in September 18-22 2017. [more]
EAMT 2017 Prague: 28 – 31 May
The 2017 EAMT conference will be held in Prague, Czech Republic, on May 28 – 31 [more]
Reminder: EAMT Sponsorship of Activities 2017
Submission deadline for proposals: October 15, 2016, 23:59 CEST [more]
EAMT summer internships 2017
As part of the EAMT's commitment to promote research, development and awareness about translation technologies, it is launching a call for summer internships [more]Older news
EAMT Corporate and Institutional Members
Company Website: http://www.kantanmt.com
Who are we?
KantanMT is a leading provider of cloud-based Statistical Machine Translation (SMT), offering a global client base cost-effective access to the latest SMT technologies.
The KantanMT.com platform is an intuitive and easy to navigate application, allowing members to build and manage SMT engines within the cloud. The performance of SMT engines can be rapidly improved using KantanMT’s unique data analysis and data visualisation technologies (BuildAnalytics™), and SMT project management is simplified using KantanAnalytics™ - a SMT fuzzy-match technology used to plan, cost and schedule projects.
Other features of KantanMT.com include:
- PEX automatic post editing
- GENTRY parsing technology
- Instant Segment Re-training (ISR)
- Named Entity Recognition
- KantanPreprocessor™ technology
KantanMT seamlessly integrates with most Computer Aided Translation (CAT) tools and web applications, offering users instant access to on-demand Machine Translation. Members have reported an average increase in productivity of 60% after introducing Kantan Machine Translation into translation workflows.
Address: INVENT, DCU campus, Dublin 9. IRELAND
Phone: +353 1 700 7874