MTee: Open Machine Translation Platform for Estonian Government

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.

Document Translation Grammatical Error Correction +2

Neural Speech Synthesis for Estonian

no code implementations • 6 Oct 2020 • Liisa Rätsep, Liisi Piits, Hille Pajupuu, Indrek Hein, Mark Fišel

The report (written in Estonian) describes the project results, the summary of which is: (1) Speech synthesis data from 6 speakers for a total of 92. 4 hours is collected and openly released (CC-BY-4. 0).

Sentence Speech Synthesis