no code implementations • EAMT 2022 • Toms Bergmanis, Marcis Pinnis, Roberts Rozis, Jānis Šlapiņš, Valters Šics, Berta Bernāne, Guntars Pužulis, Endijs Titomers, Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Annika Laumets-Tättar, Mark Fishel
We present the MTee project - a research initiative funded via an Estonian public procurement to develop machine translation technology that is open-source and free of charge.
no code implementations • 5 Apr 2024 • Hele-Andra Kuulmets, Taido Purason, Agnes Luhtaru, Mark Fishel
This paper explores cost-efficient methods to adapt pretrained Large Language Models (LLMs) to new lower-resource languages, with a specific focus on Estonian.
no code implementations • 24 Mar 2022 • Marit Asula, Jane Makke, Linda Freienthal, Hele-Andra Kuulmets, Raul Sirel
Manual subject indexing in libraries is a time-consuming and costly process and the quality of the assigned subjects is affected by the cataloguer's knowledge on the specific topics contained in the book.