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The ParlaMint corpora of parliamentary proceedings
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In: Lang Resour Eval (2022)
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Multilingual comparable corpora of parliamentary debates ParlaMint 2.1
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Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint.ana 2.1
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Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya; Ljubešić, Nikola; Simov, Kiril; Grigorova, Vladislava; Rudolf, Michał; Pančur, Andrej; Kopp, Matyáš; Barkarson, Starkaður; Steingrímsson, Steinþór; van der Pol, Henk; Depoorter, Griet; de Does, Jesse; Jongejan, Bart; Haltrup Hansen, Dorte; Navarretta, Costanza; Calzada Pérez, María; de Macedo, Luciana D.; van Heusden, Ruben; Marx, Maarten; Çöltekin, Çağrı; Coole, Matthew; Agnoloni, Tommaso; Frontini, Francesca; Montemagni, Simonetta; Quochi, Valeria; Venturi, Giulia; Ruisi, Manuela; Marchetti, Carlo; Battistoni, Roberto; Sebők, Miklós; Ring, Orsolya; Darģis, Roberts; Utka, Andrius; Petkevičius, Mindaugas; Briedienė, Monika; Krilavičius, Tomas; Morkevičius, Vaidas; Bartolini, Roberto; Cimino, Andrea; Diwersy, Sascha; Luxardo, Giancarlo; Rayson, Paul. - : CLARIN ERIC, 2021
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Abstract:
ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (from November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1432. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.1 release of the data and scripts available at the GitHub repository of the ParlaMint project. As opposed to the previous version 2.0, this version corrects some errors in various corpora and adds the information on upper / lower house for bicameral parliaments. The vertical files have also been changed to make them easier to use in the concordancers.
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Keyword:
Belgian Parliament; Bulgarian Parliament; COVID-19; Croatian Parliament; Czech Parliament; Danish Parliament; Dutch Parliament; English Parliament; French Parliament; Hungarian Parliament; Icelandic Parliament; Italian Parliament; Latvian Parliament; Lithuanian Parliament; Parla-CLARIN; parliamentary debates; Polish Parliament; Slovenian Parliament; Spanish Parliament; TEI; Turkish Parliament
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URL: http://hdl.handle.net/11356/1431
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Linguistically annotated multilingual comparable corpora of parliamentary debates ParlaMint.ana 2.0
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Multilingual comparable corpora of parliamentary debates ParlaMint 2.0
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Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields ...
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Formae reformandae: for a reorganisation of verb form annotation in Universal Dependencies illustrated by the specific case of Latin
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Cecchini, Flavio Massimiliano (orcid:0000-0001-9029-1822). - : Association for Computational Linguistics, 2021. : country:BGR, 2021. : place:Sofia, 2021
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Multilingual comparable corpora of parliamentary debates ParlaMint 1.0
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The CLASSLA-StanfordNLP model for UD dependency parsing of standard Bulgarian 1.0
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The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Bulgarian 1.0
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The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.1
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The CLASSLA-StanfordNLP model for lemmatisation of standard Bulgarian 1.0
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