no code implementations • LREC 2020 • Roberts Dar{\c{g}}is, Ilze Auzi{\c{n}}a, Krist{\=\i}ne Lev{\=a}ne-Petrova, Inga Kaija
The paper presents quality focused approach to a learner corpus development.
no code implementations • LREC 2020 • Roberts Dar{\c{g}}is, Peteris Paikens, Normunds Gruzitis, Ilze Auzina, Agate Akmane
Recent advances in neural speech synthesis have eText to speech (TTS) systems are necessary for any language to ensure accessibility and availability of digital language services.
no code implementations • LREC 2020 • Normunds Gruzitis, Roberts Dar{\c{g}}is, Laura Rituma, Gunta Ne{\v{s}}pore-B{\=e}rzkalne, Baiba Saulite
We propose an approach for generating an accurate and consistent PropBank-annotated corpus, given a FrameNet-annotated corpus which has an underlying dependency annotation layer, namely, a parallel Universal Dependencies (UD) treebank.