Researchers
Tilde researchers Tilde’s highly committed team of researchers and experts drives innovation in advanced areas of language technologies. We put a particular focus on researching novel approaches, to bring technological development of smaller languages on pair with larger ones. We actively participate in European research projects to foster collaboration and innovation with leading universities and […]
Projects
All projects Tilde has a long track record of large-scale EU projects, both coordinating and participating as a partner, including Framework Programs 5th, 6th, and 7th, as well as H2020 and ICT PSP, eContent, CEF Telecom, Intereg and EUROSTARS. Tilde profile in EU funded projects varies from a content provider to a research partner and […]
All solutions
Explore all Tilde products and services MACHINE & HUMAN TRANSLATION Tilde MT Use the Tilde MT translation platform to get fast, fluent, and secure translations of text, documents, and websites. Learn more Machine Translation API Enterprise-grade machine translation API for fast, accurate, and secure multilingual translation with full control over data and terminology. Learn more […]
All features MT
Tilde MT Pricing Features FAQ Start free trial Log in Pricing FAQ Start free trial Log in Pricing FAQ Start free trial Log in Unlock the full potential of Tilde MT General functionality Text translation Translate any form of text – from short descriptions to long articles. Machine translation API Enterprise-grade machine translation API for […]
Riga Stradiņš University: successful use of machine translation in internal workflows
Rīga Stradiņš University (RSU) is one of the most modern universities in the Baltic states with an extensive choice of health care and social sciences study programmes, as well as a strong foundation in research and international recognition. Almost 30% of students and every fifth lecturer come from abroad, making RSU the most international university in Latvia […]
Vilnius University uses Tilde technology to modernize public machine translation platform
Modernizing machine translation platform Vilnius University was looking to modernize their machine translation platform vertimas.vu.lt publicly available for use by individuals and other Lithuanian institutions. They aimed to improve the quality of the translation engine quality with the latest neural machine translation technologies, expanded language coverage, broader functionality, novel speech technologies, and whole new infrastructure service. […]
Ieva: AI-powered chatbot of the Rural Support Service
The Rural Support Service (RSS) is a public body of Latvia that is responsible for supporting agriculture, forestry and fisheries, supervising compliance with statutory acts, and performing other functions required by these sectors. Nature of work that supports involving a chatbot Unlike many other public bodies, the Rural Support Service provides more than 135 different services. […]
Mona: the first virtual assistant in a central bank in Europe
A success story in a nutshell Industry standards introduce new rules of the game for central banks that have to adjust to challenges of the digital age and the needs of their customers. Mona, the virtual assistant of the Bank of Latvia, offers first-level support at any time of the day and at any place. […]
Tilde provides machine translation for Finnish Prime Minister’s office
AI solutions for multilingual challenges The Office of the Finnish Prime Minister oversees and manages the entire Finnish state administration and provides services to governmental agencies and the public in general. As Finland is a bilingual country with growing translation needs, one of its top priorities is to use the latest AI technologies to support […]
Conversations with robots will be more frequent in the future: Lithuanian scientists explained how our communication will change
The world’s first chatbot was created before personal computers came into existence. Joseph Weizenbaum created such robot in 1966 in the U.S. Massachusetts Institute of Technology (MIT)’s artificial intelligence laboratory; he called it Eliza. Eliza was able to answer simple questions by analyzing the keywords she’d been given according to the set of rules […]