Texts in the SYN2015 corpus are divided into three main groups (txtype_group):
Each of these groups makes up one third of all texts in the corpus.
Changes with regard to the previous SYN series classification:
txtype
level into novels and novellas (NOV), short story collections (COL), poetry (VER), drama and screenplays (SCR), and finally the category other (X), which cannot be placed in any of the above mentioned groups. For fiction, we have removed the explicit classification on the genre
level, because fiction texts often tend to be either mixed genre or with no single defined genre; however, when selecting texts for the corpus, we did take into account an operative genre classification (e.g. detective novel, thriller/horror, sci-fi, fantasy, humour/satire etc.), in order to ensure that the selection of texts would be as varied as possible.The new division of fiction (FIC) on the txtype level is:
The most significant changes compared to the previous SYN series classification:
txtype
): scientific (SCI), professional (PRO) and popular (POP) literature. This macro-group should be understood as the opposite of fiction and journalistic texts: for this reason, it also contains administrative texts (ADM) in the broadest sense as well as a group of texts that are on the borderline between fiction and non-fiction, most typically memoirs and autobiographies (MEM). By changing the name of this group from scientific to the more general non-fiction we hope to achieve a more accurate representation of its heterogeneous contents, while the term scientific is now assigned only to academic texts (SCI). The newly defined category of professional literature (PRO) includes texts which are characterized by large quantities of practical information primarily intended for professionals in a given field.genre_group
, which was created by grouping together individual disciplines or fields into larger categories and makes it possible to analyze texts from similar or related fields together: humanities (HUM), social sciences (SSC), natural sciences (NAT) and technical sciences (FTS). genre
level, which contains the most detailed classification and reflects each specific field or discipline, the individual texts were classified in a way that would most accurately correspond with the subject categorization used by the National Library of the Czech Republic. The fields are featured in detail in the table below.Non-fiction literature (NFC) on the txtype level is newly divided into:
The NFC category contains a new layer of classification, genre_group, which is relevant for texts in the SCI, PRO and POP categories. It was created by grouping together the individual fields (labelled genre in the CNC) into larger groups: humanities (HUM), social sciences (SSC), natural sciences (NAT) and formal and technical sciences (FTS), please refer to the table below.
On the genre
level, in other words the most detailed level of text classification, the individual texts (with very few exceptions) were classified in compliance with the subject-based categorization which is used in the National Library of the Czech Republic. Ambiguous cases were resolved through the consensus of several classifiers. The fields are shown in detail in the table below.
HUM: humanities | SSC: social sciences | NAT: natural sciences | FTS: formal and technical sciences | ITD: interdisciplinary |
---|---|---|---|---|
ANT: anthropology, ethnography THE: theatre, film, dance PHI: philosophy, religion HIS: history LAN: philology INF: library and information science ART: art, architecture | ECO: economy, business, logistics POL: politics, military LAW: law PSY: psychology SOC: sociology REC: sports, recreation, hobbies EDU: education | BIO: biology PHY: physics GEO: geography, geology CHE: chemistry MED: medicine AGR: agriculture | MAT: mathematics TEC: technology ICT: information technology | ITD: interdisciplinary |
The most significant changes compared to the previous SYN series classification:
txtype
level into the groups traditional (NEW) and leisure (LEI). Traditional newspapers (typically daily newspapers) are further divided on the genre
level into the groups national (NTW) and regional (REG). Leisure magazines (mostly various types of special interest magazines) are also divided on the genre
level into the following thematic groups: home, garden, hobbies (HOU), lifestyle (LIF), social life (SCT), sports (SPO), international curiosities (INT) and society (MIX).text.section
attribute): news (foreign, domestic, regional), politics, economy, sports, culture, leisure, commentaries, crime, social life and front page. The category of newspapers and magazines (NMG) on the txtype level is newly divided into:
The category of traditional newspapers (NEW) is divided on the genre level into:
The category of leisure magazines (LEI) is further divided on the genre level based on the topic:
Selected periodicals (Mladá fronta Dnes, Právo, Hospodářské noviny, Lidové noviny, Deníky Bohemia, Týden, Deníky Moravia, Respekt, Regionální týdeník, Blesk, Dobrý den s kurýrem, Metro, E15, Jihlavské listy, Sedmička, Aha! neděle, Nedělní Blesk) furthermore offer information about the section in which the article was originally published. This information is contained in the section attribute, which characterizes the structure of the <text>
and has one of the following values:
The following table offers a comprehensive summary of how texts are divided into categories based on the txtype_group
, txtype
, genre_group
and genre
attributes.
txtype_group | txtype | genre_group | genre |
---|---|---|---|
FIC: fiction | NOV: novels | X: other | X: other |
COL: short stories | |||
VER: poetry | |||
SCR: drama, screenplays | |||
X: other | |||
NFC: non-fiction literature | SCI: scientific literature PRO: professional literature POP: popular literature | HUM: humanities | ANT: anthropology, ethnography |
THE: theatre, film, dance | |||
PHI: philosophy, religion | |||
HIS: history, biography | |||
MUS: music | |||
LAN: philology | |||
INF: library and information science | |||
ART: art, architecture | |||
SSC: social sciences | ECO: economy, business, logistics | ||
POL: politics, military | |||
LAW: law | |||
PSY: psychology | |||
SOC: sociology | |||
REC: sports, recreation, hobbies | |||
EDU: education | |||
NAT: natural sciences | BIO: biology | ||
PHY: physics | |||
GEO: geography, geology | |||
CHE: chemistry | |||
MED: medicine | |||
AGR: agriculture | |||
FTS: formal and technical sciences | MAT: mathematics | ||
TEC: technology | |||
ICT: information technology | |||
ITD : interdisciplinary | ITD: interdisciplinary | ||
MEM: memoirs, autobiographies | MEM: memoirs, autobiographies | MEM: memoirs, autobiographies | |
ADM: administrative | ADM: administrative | ADM: administrative | |
NMG: newspapers and magazines | NEW: traditional journalistic texts | X: other | NTW: nationwide newspapers |
REG: regional newspapers | |||
LEI: leisure magazines | X: other | HOU: home, garden, hobbies | |
LIF: lifestyle | |||
SCT: social life | |||
SPO: sports | |||
INT: curiosities | |||
MIX: society |
The classification of texts in SYN2015 is supplemented by some of their other characteristics. Each text newly has the medium attribute, which assigns to it one of the following values:
In addition, we have created a new attribute which identifies the periodicity of the given publication and can have one of the following values:
In the audience attribute you can find information about the age of the text's intended reader: we differentiate among texts written for the general public (GEN) and children and adolescents (JUN).
Each text also newly contains information about the author's sex (authsex), or the translator's sex (transsex): female (F), male (M), not specified (X).
Of course, the metainformation available in previous corpora is also available here, namely title
, author
, translator
, year of publication (pubyear
), year of first publication (first_published
), source language (srclang
) and other characteristics.
Although all categories are taken into account when making a balanced corpus, in order for the resulting corpus to be as varied as possible, the basic framework for determining the share of text types consists only of the categories txtype_group
, txtype
and genre_group
. The proportions of the individual categories were selected rather pragmatically based on the texts which the CNC had at its disposal from publishers and other sources of texts.
txtype | genre / genre_group | category | percentage |
---|---|---|---|
Fiction (FIC) | 33.33 % | ||
NOV | novels | 26 % | |
COL | short stories | 5 % | |
VER | poetry | 1 % | |
SCR | drama | 1 % | |
X | other fiction | 0.33 % | |
Non-fiction (NFC) | 33.33 % | ||
SCI/PRO/POP | HUM | humanities | 7 % |
SSC | social sciences | 7 % | |
NAT | natural sciences | 7 % | |
FTS | formal and technical sciences | 7 % | |
ITD | interdisciplinary | 1 % | |
MEM | memoirs, autobiographies | 4 % | |
ADM | administrative texts | 0.33 % | |
Newspapers and magazines (NMG) | 33.33 % | ||
NEW | NTW | national newspapers – specific (MF, LN, HN, Právo) | 10 % |
NTW | national newspapers – other | 5 % | |
REG | regional newspapers | 5 % | |
LEI | leisure magazines | 13.33 % |
— Václav Cvrček, Michal Křen, Anna Čermáková, Lucie Chlumská, Michal Škrabal, Dominika Kováříková