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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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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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Abstract:
ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting at the end of 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 (after October 2019), or being "reference" (before that date). The corpora have extensive meta-data about the speakers (name, gender, party affiliation, MP status), are structured into time-stamped terms, sessions and meetings, with each speech being marked by its speaker and their role (chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation, but have been validated to the compatible but much stricter ParlaMint schemas. The schemas are included in the distribution, along with scripts to convert the corpora into other formats. The ZIP files with the TEI encoded corpora also include the automatically derived plain text version of the corpus, along with metadata on the speeches. In addition to the ParlaMint TEI encoded corpora, their linguistically encoded variants (".ana") are also available. The annotation includes named entities, lemmatisation, part-of-speech tagging, and morphological features and syntactic parses according to the Universal Dependencies recommendations. State-of-the-art tools have been used to perform the annotations. The .ana.zip corpora include the ParlaMint encoded XML, as well as derived formats, in particular, CoNLL-U and vertical files.
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Keyword:
Bulgarian Parliament; COVID-19; Croatian Parliament; Parla-CLARIN; parliamentary debates; Polish Parliament; Slovenian Parliament; TEI
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URL: http://hdl.handle.net/11356/1345
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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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