Spoken corpora of parliamentary debates ParlaSpeech 4.0 (transcriptions)

Name: Spoken corpora of parliamentary debates ParlaSpeech 4.0 (transcriptions)
License: https://creativecommons.org/licenses/by-sa/4.0/

Ljubešić, Nikola; Koržinek, Danijel; Porupski, Ivan; Dobranić, Filip; Rupnik, Peter

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dc.contributor.author	Ljubešić, Nikola
dc.contributor.author	Koržinek, Danijel
dc.contributor.author	Porupski, Ivan
dc.contributor.author	Dobranić, Filip
dc.contributor.author	Rupnik, Peter
dc.date.accessioned	2026-11-05T12:39:05Z
dc.date.available	2026-11-05T12:39:05Z
dc.date.issued	2026-10-22
dc.identifier.uri	http://hdl.handle.net/11356/1885
dc.description	The ParlaSpeech corpora are built from the transcripts of parliamentary proceedings of Croatian, Serbian, Slovenian, Polish, and Czech parliaments available in the ParlaMint 4.0 corpus (http://hdl.handle.net/11356/1859), and the parliamentary recordings available from the parliaments' YouTube channels. An instance in this dataset is a transcript sentence with the corresponding metadata and the aligned audio. This entry contains the transcriptions and various levels of enrichment, while the audio files in FLAC format are available at http://hdl.handle.net/11356/1889. This version's main extensions are the addition of Slovenian language, and the addition of silent pauses as an enrichment layer, and CAP topic labels as speech-level metadata. Current enrichment layers are the following: * ParlaSpeech-FilledPause: automatic annotations of filled pauses ("eerm") * ParlaSpeech-SilentPause: automatic annotations of silent pauses * ParlaSpeech-Align: precise word- and grapheme-level alignment (HR, RS only) * ParlaSpeech-Stress: Labelled primary stress in multisyllabic words (HR, RS only) * ParlaSpeech-Ling: Universal Dependencies (UD) formatted linguistic annotations (lemma, part-of-speech, syntax, etc.) * ParlaSpeech-Senti: sentiment estimation based on the transcript * ParlaSpeech-Topic: CAP topic label based on the transcript Data size per parliament is the following: * Croatia (HR): 923k sentences, 3,110 hours, 324k filled pauses, 972k silent pauses, 11M word stresses * Czechia (CZ): 718k sentences, 1,218 hours, 200k filled pauses, 683k silent pauses, no word stresses * Poland (PL): 535k sentences, 1,009 hours, 200k filled pauses, 180k silent pauses, no word stresses * Serbia (RS): 291k sentences, 896 hours, 74k filled pauses, 308k silent pauses, 2M word stresses * Slovenia (SI): 1,435k sentences, 4,080 hours, 626k filled pauses, 2,171k silent pauses, no word stresses The data are available in the following formats: * JSONL: master format, containing all the data. Distributed as a newline delimited JSON, where each line is a valid JSON serialization. Mostly intended for computerized processing. * VERT: vertical format intended for concordancers with text, links to audio, linguistic annotations, sentiment, filled pauses, and primary word stress (where available). * TextGrid (HR and RS only), available through the old repository entry http://hdl.handle.net/11356/1833: word- and grapheme alignment, primary word stress, and filled pauses. This format's intended use is with the Praat software (https://www.fon.hum.uva.nl/praat/) for research and applications in phonetics and other speech-focused disciplines. For a detailed dataset schema description and examples, please see our dedicated website: https://clarinsi.github.io/parlaspeech/.
dc.language.iso	hrv
dc.language.iso	ces
dc.language.iso	pol
dc.language.iso	srp
dc.language.iso	slv
dc.publisher	Jožef Stefan Institute
dc.publisher	Institute of Contemporary History
dc.relation	info:eu-repo/grantAgreement/EC/HE/101129751
dc.relation.isreferencedby	https://aclanthology.org/2026.lrec-1.447.pdf
dc.relation.replaces	http://hdl.handle.net/11356/1833
dc.rights	Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.label	PUB
dc.source.uri	https://clarinsi.github.io/parlaspeech/
dc.subject	parliamentary debates
dc.subject	speech transcription
dc.subject	speech database
dc.subject	filled pauses
dc.subject	silent pauses
dc.subject	primary stress
dc.subject	sentiment classification
dc.subject	topic classification
dc.title	Spoken corpora of parliamentary debates ParlaSpeech 4.0 (transcriptions)
dc.type	corpus
metashare.ResourceInfo#ContentInfo.mediaType	text
has.files	yes
branding	CLARIN.SI data & tools
demo.uri	https://clarinsi.github.io/parlaspeech/concordancer/concordancer-guide.html
contact.person	Nikola Ljubešić nikola.ljubesic@ijs.si Jožef Stefan Institute
sponsor	Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds
sponsor	Institute of Contemporary History DARIAH DARIAH-SI nationalFunds
sponsor	ARIS (Slovenian Research and Innovation Agency) GC-0002 LLM4DH: Large Language Models for Digital Humanities nationalFunds
sponsor	Slovenian Research Agency (ARRS) P6-0436 Basic national research program 'Digital Humanities' (2022-2027) nationalFunds
sponsor	ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
sponsor	OSCARS project ParlaCap Comparing agenda settings across parliaments via the ParlaMint dataset Other
sponsor	European Union EC/HE/101129751 OSCARS - O.S.C.A.R.S. - Open Science Clusters’ Action for Research and Society euFunds info:eu-repo/grantAgreement/EC/HE/101129751
size.info	77327430 words
size.info	3901578 sentences
files.count	11
files.size	6776686452
featuredService.noske	Czech corpus\|https://www.clarin.si/ske/#dashboard?corpname=parlaspeech4_cz
featuredService.noske	Croatian corpus\|https://www.clarin.si/ske/#dashboard?corpname=parlaspeech4_hr
featuredService.noske	Polish corpus\|https://www.clarin.si/ske/#dashboard?corpname=parlaspeech4_pl
featuredService.noske	Serbian corpus\|https://www.clarin.si/ske/#dashboard?corpname=parlaspeech4_rs
featuredService.noske	Slovenian corpus\|https://www.clarin.si/ske/#dashboard?corpname=parlaspeech4_si