This record contains audio recordings of proceedings of the Chamber of Deputies of the Parliament of the Czech Republic. The recordings have been provided by the official websites of the Chamber of Deputies, and the set contains them in their original format with no further processing.
Recordings cover all available audio files from 2013-11-25 to 2023-07-26. Audio files are packed by year (2013-2023) and quarter (Q1-Q4) in tar archives audioPSP-YYYY-QN.tar.
Furthermore, there are two TSV files: audioPSP-meta.quarterArchive.tsv contains metadata about archives, and audioPSP-meta.audioFile.tsv contains metadata about individual audio files.
The ParCzech 3.0 corpus is the third version of ParCzech consisting of stenographic protocols that record the Chamber of Deputies’ meetings held in the 7th term (2013-2017) and the current 8th term (2017-Mar 2021). The protocols are provided in their original HTML format, Parla-CLARIN TEI format, and the format suitable for Automatic Speech Recognition. The corpus is automatically enriched with the morphological, syntactic, and named-entity annotations using the procedures UDPipe 2 and NameTag 2. The audio files are aligned with the texts in the annotated TEI files.
The ParCzech 4.0 corpus consists of stenographic protocols that record the Chamber of Deputies' meetings in the 7th term (2013-2017), the 8th term (2017-2021) and the current 9th term (2021-Jul 2023). The protocols are provided in their original HTML format, Parla-CLARIN TEI format. The corpus is automatically enriched with the morphological, syntactic, and named-entity annotations using the procedures UDPipe 2 and NameTag 2. The audio files are aligned with the texts in the annotated TEI files.
The audio files in this corpus are available in AudioPSP 24.01 corpus (http://hdl.handle.net/11234/1-5404).
This corpus covers the same period as ParlaMint-CZ corpus v4.0 (http://hdl.handle.net/11356/1860). ParCzech corpus follows and extends the ParlaMint schema. Both annotated and non-annotated versions include hypertext references to voting and parliamentary prints. In addition to ParlaMint's recommendation, the annotated version contains source audio alignment, PDT xtag, and more detailed CNEC2.0 named entity categorization.
The ParCzech PS7 1.0 corpus is the very first member of the corpus family of data coming from the Parliament of the Czech Republic. ParCzech PS7 1.0 consists of stenographic protocols that record the Chamber of Deputies' meetings held in the 7th term between 2013-2017. The audio recordings are available as well. Transcripts are provided in the original HTML as harvested, and also converted into TEI-derived XML format for use in TEITOK corpus manager. The corpus is automatically enriched with the morphological and named-entity annotations using the procedures MorphoDita and NameTag.
The ParCzech PS7 2.0 corpus is the second version of ParCzech PS7 consisting of stenographic protocols that record the Chamber of Deputies' meetings held in the 7th term between 2013-2017. The protocols are provided in their original HTML format, TEI format and TEI-derived format to make them searchable in the TEITOK corpus manager. Their audio recordings are available as well. The corpus is automatically enriched with the morphological, syntactic, and named-entity annotations using the procedures UDPipe 2 and NameTag 2.
SiR 1.0 is a corpus of Czech articles published on iRozhlas, a news server of a Czech public radio (https://www.irozhlas.cz/). It is a collection of 1 718 articles (42 890 sentences, 614 995 words) with manually annotated attribution of citation phrases and sources. The sources are classified into several classes of named and unnamed sources.
The corpus consists of three parts, depending on the quality of the annotations:
(i) triple-annotated articles: 46 articles (933 sentences, 13 242 words) annotated independently by three annotators and subsequently curated by an arbiter,
(ii) double-annotated articles: 543 articles (12 347 sentences, 180 622 words) annotated independently by two annotators and automatically unified,
and (iii) single-annotated articles: 1 129 articles (29 610 sentences, 421 131 words) annotated each only by a single annotator.
The data were annotated in the Brat tool (https://brat.nlplab.org/) and are distributed in the Brat native format, i.e. each article is represented by the original plain text and a stand-off annotation file.
Please cite the following paper when using the corpus for your research: Hladká Barbora, Jiří Mírovský, Matyáš Kopp, Václav Moravec. Annotating Attribution in Czech News Server Articles. In: Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), pages 1817–1823, Marseille, France 20-25 June 2022.