Corpus of contemporary written (printed) Czech sized 4.7 GW (i.e. 5.7 billion tokens). It covers mostly the 1990-2019 period and features rich metadata including detailed bibliographical information, text-type classification etc. SYN v9 contains a wide variety of text types (fiction, non-fiction, newspapers), but the newspapers prevail noticeably. The corpus is lemmatized and morphologically tagged by the new CNC tagset first utilized for the annotation of the SYN2020 corpus.
SYN v9 is provided in a CoNLL-U-like vertical format used as an input to the Manatee query engine. The data thus correspond to the corpus available via the KonText query interface to the registered users of CNC at http://www.korpus.cz with one important exception: the corpus is shuffled, i.e. divided into blocks sized max. 100 words (respecting the sentence boundaries) with ordering randomized within the given document.
This paper introduces some major conceptual enhancements to the morphological annotation of the SYN series corpora of the Czech National Corpus. Apart from minor changes in tokenization and in the positional tagset, three major conceptual changes have been applied which affect the representation of various lexical and grammatical patterns. In the paper, we present the actual impact of the changes in linguistic data and search for possibilities in three linguistic areas. First, the treatment of phonic, graphemic, and morphological variants via a two-tier lemma structure is discussed; second, a new approach to periphrastic verb forms, auxiliaries, participles and the interpretation of verbal grammatical categories through a new attribute, called verbtag, is explained; and third, a complex multi-value treatment of multiword tokens is introduced.