Czech PDTC
Overview
| type | mixed |
| available since | 1.0 |
| link | https://github.com/UniversalDependencies/UD_Czech-PDTC |
| genre | news reviews nonfiction academic spoken social |
| contributors | Zeman, Daniel; Hajič, Jan; Bémová, Alevtina; Buráňová, Eva; Hajičová, Eva; Havelka, Jiří; Hlaváčová, Jaroslava; Kárník, Jiří; Kolářová, Veronika; Kučová, Lucie; Lopatková, Markéta; Mikulová, Marie; Mírovský, Jiří; Nedoluzhko, Anna; Novák, Michal; Pajas, Petr; Panevová, Jarmila; Sgall, Petr; Straka, Milan; Ševčíková, Magda; Štěpánek, Jan; Štěpánková, Barbora; Urešová, Zdeňka; Vidová Hladká, Barbora; Žabokrtský, Zdeněk |
| sentences | 213897 |
| tokens | 3432078 |
Issue draft: UD_Czech-PDTC
Modality identification
Is spoken part clearly identifiable? yes - via the document_id prefix pdtsc (not “sentences starting with s” as mentioned in the README. The actual document_id/sent_id values spell it out in full, e.g. pdtsc_jg-27638_04.00).
Advise: add # modality = spoken to the 1553 sentences (documents) with document_id starting pdtsc, and # modality = written to the rest.