LANGUAGES IN MIGRATION is designed as a representation of authentic spoken Czech and German that is used in informal speech (private environment, spontaneity, unpreparedness etc.) by Czech-German bilingual speakers born in Czechoslovakia around 1955 and who departed for Germany after becoming 12 years old. The corpus is composed of interviews conducted from 2018–2020 with 20 speakers on language biographies and narrated in Czech and German respectively. 10 interviews were recorded with late (German) repatriates and 10 with Czech migrants. The corpus includes transcripts of ca. 14 hours of Czech recordings and ca. 13,5 hours of German recordings. It contains 217 650 orthographic words (i.e. a total of 286 533 tokens including punctuation). Metadata of LANGUAGES IN MIGRATION include basic sociolinguistically relevant speaker categories (gender, year of birth and of migration, level of education and region of childhood and present residence).
The transcription of LANGUAGES IN MIGRATION is linked to the corresponding audio track. The transcription was carried out on the orthographic tier and supplemented by an additional metalanguage tier. The corpus LANGUAGES IN MIGRATION is lemmatized and morphologically tagged in different formats for Czech and German (Stuttgart-Tübingen-Tagset). Deviations from the norm of the spoken Czech and German of the homeland, which are understood as the result of language contact and language isolation, are tagged in a further tier both in the Czech and in the German sub-corpuses of LANGUAGES IN MIGRATION. The (anonymized) corpus is provided in form of transcripts in EAF format, which can be viewed via the freely available ELAN program, and a (semi-XML) vertical format used as an input to the Manatee query engine. The data thus correspond to the corpus available via the KonText query engine to registered users of the CNC at http://www.korpus.cz
Corpus of contemporary written (printed) Czech sized 3.6 GW (i.e. 4.3 billion tokens). It covers mostly the period of 1990–2014 and it is a traditional corpus (as opposed to the web-crawled corpora) with rich metadata containing bibliographical information etc. Although it contains a wide range of text types (fiction, non-fiction, newspapers), the newspapers prevail noticeably. The corpus is lemmatized and morphologically annotated by a combination of stochastic and rule-based methods.
The corpus is provided in a (semi-XML) 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 registered users of the CNC at http://www.korpus.cz with one important exception: the corpus are shuffled, i.e. divided into blocks sized max. 100 words (respecting the sentence boundaries) with ordering randomized within the given document.
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.
Representative corpus of contemporary written Czech sized 100 MW. It was created as a representation of printed language from 2010–2014 containing a wide range of text types (fiction, professional literature, newspapers etc.). The corpus is lemmatized, morphologically and syntactically annotated by a combination of stochastic and rule-based methods. The corpus is provided in a (semi-XML) 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 registered users of the CNC with one important exception: they are shuffled, i.e. divided into blocks sized max. 100 words (respecting the sentence boundaries) with ordering randomized within the given document.