no code implementations • LREC 2022 • Peteris Paikens, Mikus Grasmanis, Agute Klints, Ilze Lokmane, Lauma Pretkalniņa, Laura Rituma, Madara Stāde, Laine Strankale
In this paper we describe our current work on creating a WordNet for Latvian based on the principles of the Princeton WordNet.
no code implementations • LREC 2022 • Baiba Saulite, Roberts Darģis, Normunds Gruzitis, Ilze Auzina, Kristīne Levāne-Petrova, Lauma Pretkalniņa, Laura Rituma, Peteris Paikens, Arturs Znotins, Laine Strankale, Kristīne Pokratniece, Ilmārs Poikāns, Guntis Barzdins, Inguna Skadiņa, Anda Baklāne, Valdis Saulespurēns, Jānis Ziediņš
LNCC is a diverse collection of Latvian language corpora representing both written and spoken language and is useful for both linguistic research and language modelling.
Cultural Vocal Bursts Intensity Prediction Language Modelling
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 2016 • Andrejs Spektors, Ilze Auzina, Roberts Dargis, Normunds Gruzitis, Peteris Paikens, Lauma Pretkalnina, Laura Rituma, Baiba Saulite
We describe an extensive and versatile lexical resource for Latvian, an under-resourced Indo-European language, which we call Tezaurs (Latvian for {`}thesaurus{'}).
no code implementations • 26 Jun 2014 • Normunds Gruzitis, Peteris Paikens, Guntis Barzdins
In this paper we are focusing on verbs, investigating the possibility of creating a multilingual FrameNet-based GF library.
no code implementations • LREC 2014 • Guntis Barzdins, Didzis Gosko, Laura Rituma, Peteris Paikens
Frame-semantic parsing is a kind of automatic semantic role labeling performed according to the FrameNet paradigm.