Sculptor Otakar Švec with his colleagues František Žemlička and Arnošt Košík working on a model for the Stalin Monument in a segment from Československý filmový týdeník (Czechoslovak Film Weekly Newsreel) 1953, issue no. 22.
Director Otakar Vávra with cinematographer Jan Roth during the shooting of Humoreska (Humoresque, dir. Otakara Vávra, 1939) in a segment from Československý zvukový týdeník Aktualita (Czechoslovak Aktualita Sound Newsreel) 1939, issue no. 41B.
The corpus consists of transcribed recordings from the Czech political discussion broadcast “Otázky Václava Moravce“. It contains 35 hours of speech and corresponding word-by-word transcriptions, including the transcription of some non-speech events. Speakers’ names are also assigned to corresponding segments. The resulting corpus is suitable for both acoustic model training for ASR purposes and training of speaker identification and/or verification systems. The archive contains 16 sound files (WAV PCM, 16-bit, 48 kHz, mono) and transcriptions in XML-based standard Transcriber format (http://trans.sourceforge.net)
This package comprises eight models of Czech word embeddings trained by applying word2vec (Mikolov et al. 2013) to the currently most extensive corpus of Czech, namely SYN v9 (Křen et al. 2022). The minimum frequency threshold for including a word in the model was 10 occurrences in the corpus. The original lemmatisation and tagging included in the corpus were used for disambiguation. In the case of word embeddings of word forms, units comprise word forms and their tag from a positional tagset (cf. https://wiki.korpus.cz/doku.php/en:pojmy:tag) separated by '>', e.g., kočka>NNFS1-----A----.
The published package provides models trained on both tokens and lemmas. In addition, the models combine training algorithms (CBOW and Skipgram) and dimensions of the resulting vectors (100 or 500), while the training window and negative sampling remained the same during the training. The package also includes files with frequencies of word forms (vocab-frequencies.forms) and lemmas (vocab-frequencies.lemmas).
The January 2018 release of the ParaCrawl is the first version of the corpus. It contains parallel corpora for 11 languages paired with English, crawled from a large number of web sites. The selection of websites is based on CommonCrawl, but ParaCrawl is extracted from a brand new crawl which has much higher coverage of these selected websites than CommonCrawl. Since the data is fairly raw, it is released with two quality metrics that can be used for corpus filtering. An official "clean" version of each corpus uses one of the metrics. For more details and raw data download please visit: http://paracrawl.eu/releases.html
ParaDi 2.0. is a dictionary of single verb paraphrases of Czech verbal multiword expressions - light verb constructions and idiomatic verb constructions. Moreover, it provides an elaborated set of morphological, syntactic and semantic features, including information on aspectual counterparts of verbs or paraphrasability conditions of given verbs.
The format of ParaDi has been designed with respect to both human and machine readability - the dictionary is represented as a plain table in TSV format, as it is a flexible and language-independent data format.
ParaDi 2.0. is a dictionary of single verb paraphrases of Czech verbal multiword expressions - light verb constructions and idiomatic verb constructions. Moreover, it provides an elaborated set of morphological, syntactic and semantic features, including information on aspectual counterparts of verbs or paraphrasability conditions of given verbs.
The format of ParaDi has been designed with respect to both human and machine readability - the dictionary is represented as a plain table in TSV format, as it is a flexible and language-independent data format.
Annotation of named entities to the existing source Parallel Global Voices, ces-eng language pair. The named entity annotations distinguish four classes: Person, Organization, Location, Misc. The annotation is in the IOB schema (annotation per token, beginning + inside of the multi-word annotation). NEL annotation contains Wikidata Qnames.
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.