Extremely low-resource machine translation for closely related languages

no code implementations • NoDaLiDa 2021 • Maali Tars, Andre Tättar, Mark Fišel

An effective method to improve extremely low-resource neural machine translation is multilingual training, which can be improved by leveraging monolingual data to create synthetic bilingual corpora using the back-translation method.

Low-Resource Neural Machine Translation Transfer Learning +1

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