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
"Large Scale Colloquial Persian Dataset" (LSCP) is hierarchically organized in asemantic taxonomy that focuses on multi-task informal Persian language understanding as a comprehensive problem. LSCP includes 120M sentences from 27M casual Persian tweets with its dependency relations in syntactic annotation, Part-of-speech tags, sentiment polarity and automatic translation of original Persian sentences in five different languages (EN, CS, DE, IT, HI).
In this article, we introduce the Prague Dependency Treebank of Spoken Czech. The syntactic and semantic annotation of this corpus has led to the expansion of PDT-Vallex, a valency lexicon of Czech verbs, which has previously been linked only to the annotation of written texts. The expansion of the lexicon consisted of several steps: (i) new verbs were added to the lexicon; (ii) new meanings and new valency frames were added to verbs that had already been included in the lexicon; valency frames that had already been part of the lexicon were enriched with (iii) new participants (actants) and (iv) new formal realizations of participants (actants). All the above mentioned enrichments are (a) unmarked and based only on the addition of a new verb, a new meaning, a new participant (actant) or a new form, however, (b) some of them are influenced by the typical characteristics of spoken language. It would be almost impossible to find some of the verbs, some of the meanings, participants or forms in a written text. We believe that verbs in spoken language tend to exhibit different valency behavior than verbs in written texts. In this article we attempt to draw more general conclusions on the valency behavior of verbs in spoken language.
ORAL2013 is designed as a representation of authentic spoken Czech used in informal situations (private environment, spontaneity, unpreparedness etc.) in the area of the whole Czech Republic. The corpus comprises 835 recordings from 2008–2011 that contain 2 785 189 words (i.e. 3 285 508 tokens including punctuation) uttered by 2 544 speakers, out of which 1 297 speakers are unique. ORAL2013 is balanced in the main sociolinguistic categories of the speakers (gender, age group, education, region of childhood residence).
The (anonymized) transcriptions are provided in the Transcriber XML format, audio (with corresponding anonymization beeps) is in uncompressed 16-bit PCM WAV, mono, 16 kHz format.
Another format option of the transcriptions is also available under less restrictive CC BY-NC-SA license at http://hdl.handle.net/11234/1-1847
ORAL2013 is designed as a representation of authentic spoken Czech used in informal situations (private environment, spontaneity, unpreparedness etc.) in the area of the whole Czech Republic. The corpus comprises 835 recordings from 2008–2011 that contain 2 785 189 words (i.e. 3 285 508 tokens including punctuation) uttered by 2 544 speakers, out of which 1 297 speakers are unique. ORAL2013 is balanced in the main sociolinguistic categories of speakers (gender, age group, education, region of childhood residence).
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 engine to registered users of the CNC at http://www.korpus.cz
Please note: this item includes only the transcriptions, audio is available under more restrictive non-CC license at http://hdl.handle.net/11234/1-1848
ORTOFON v1 is designed as a representation of authentic spoken Czech used in informal situations (private environment, spontaneity, unpreparedness etc.) in the area of the whole Czech Republic. The corpus is composed of 332 recordings from 2012–2017 and contains 1 014 786 orthographic words (i.e. a total of 1 236 508 tokens including punctuation); a total of 624 different speakers appear in the probes. ORTOFON v1 is fully balanced regarding the basic sociolinguistic speaker categories (gender, age group, level of education and region of childhood residence).
The transcription is linked to the corresponding audio track. Unlike the ORAL-series corpora, the transcription was carried out on two main tiers, orthographic and phonetic, supplemented by an additional metalanguage tier. ORTOFON v1 is lemmatized and morphologically tagged. The (anonymized) transcriptions are provided in the XML Elan Annotation format, audio (with corresponding anonymization beeps) is in uncompressed 16-bit PCM WAV, mono, 16 kHz format.
Another format option of the transcriptions is also available under less restrictive CC BY-NC-SA license at http://hdl.handle.net/11234/1-2580
ORTOFON v1 is designed as a representation of authentic spoken Czech used in informal situations (private environment, spontaneity, unpreparedness etc.) in the area of the whole Czech Republic. The corpus is composed of 332 recordings from 2012–2017 and contains 1 014 786 orthographic words (i.e. a total of 1 236 508 tokens including punctuation); a total of 624 different speakers appear in the probes. ORTOFON v1 is fully balanced regarding the basic sociolinguistic speaker categories (gender, age group, level of education and region of childhood residence).
The transcription is linked to the corresponding audio track. Unlike the ORAL-series corpora, the transcription was carried out on two main tiers, orthographic and phonetic, supplemented by an additional metalanguage tier. ORTOFON v1 is lemmatized and morphologically tagged. The (anonymized) 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 engine to registered users of the CNC at http://www.korpus.cz
Please note: this item includes only the transcriptions, audio (and the transcripts in their original format) is available under more restrictive non-CC license at http://hdl.handle.net/11234/1-2579
The first edition of a speech corpus with a speech reconstruction layer (edited transcript).
The project of speech reconstruction of Czech and English has been started at UFAL together with the PIRE project in 2005, and has gradually grown from ideas to (first) annotation specification, annotation software and actual annotation. It is part of the Prague Dependency Treebank family of annotated corpus resources and tools, to which it adds the spoken language layer(s). and LC536; MSM0021620838; IST-034344; ME838
The paper tried to answer the following research questions: What are meanings and functions of the Czech word tak [so in English] in spoken texts used in contemporary media? How is the word tak incorporated into a syntactic structure of a turn? Two TV programmes included in the Dialog Corpus were chosen to be analysed: Otázky Václava Moravce (a very formal discussion with politicians hosted by Václav Moravec) and Uvolněte se, prosím (a very informal, spontaneous talk show). The chosen programmes were intentionally quite different; they noticeably differed even in the total numbers of the tak occurrences caught in them: 74 occurrences in Otázky Václava Moravce vs. 149 occurrences in the talk show Uvolněte se, prosím. In the talk show, we identified an extremely high occurrence of the word tak as the preparative particle as it is called, and even a higher number of this word was found as a simple connector. The connector tak placed at the end of a line appeared only in the talk show. In both programmes, the word tak was commonly used to express various syntactic relations, most often expressing conditions and consequences. The examples often indicated that the word tak might be the only word expressing such relations.
The paper tried to answer the following research questions: What are meanings and functions of the Czech word tak [so in English] in spoken texts used in contemporary media? How is the word tak incorporated into a syntactic structure of a turn? Two TV programmes included in the Dialog Corpus were chosen to be analysed: Otázky Václava Moravce (a very formal discussion with politicians hosted by Václav Moravec) and Uvolněte se, prosím (a very informal, spontaneous talk show). The chosen programmes were intentionally quite different; they noticeably differed even in the total numbers of the tak occurrences caught in them: 74 occurrences in Otázky Václava Moravce vs. 149 occurrences in the talk show Uvolněte se, prosím. In the talk show, we identified an extremely high occurrence of the word tak as the preparative particle as it is called, and even a higher number of this word was found as a simple connector. The connector tak placed at the end of a line appeared only in the talk show. In both programmes, the word tak was commonly used to express various syntactic relations, most often expressing conditions and consequences. The examples often indicated that the word tak might be the only word expressing such relations.