Show simple item record Bañón, Marta Chichirau, Malina Esplà-Gomis, Miquel Forcada, Mikel L. Galiano-Jiménez, Aarón García-Romero, Cristian Kuzman, Taja Ljubešić, Nikola van Noord, Rik Pla Sempere, Leopoldo Ramírez-Sánchez, Gema Rupnik, Peter Suchomel, Vít Toral, Antonio Zaragoza-Bernabeu, Jaume 2023-04-20T06:23:33Z 2023-04-20T06:23:33Z 2023-04-20
dc.description The Bulgarian web corpus MaCoCu-bg 2.0 was built by crawling the ".bg" and ".бг" internet top-level domains in 2021, extending the crawl dynamically to other domains as well. The crawler is available at Considerable effort was devoted into cleaning the extracted text to provide a high-quality web corpus. This was achieved by removing boilerplate ( and near-duplicated paragraphs (, discarding very short texts as well as texts that are not in the target language. The dataset is characterized by extensive metadata which allows filtering the dataset based on text quality and other criteria (, making the corpus highly useful for corpus linguistics studies, as well as for training language models and other language technologies. In XML format, each document is accompanied by the following metadata: title, crawl date, url, domain, file type of the original document, distribution of languages inside the document, and a fluency score based on a language model. The text of each document is divided into paragraphs that are accompanied by metadata on the information whether a paragraph is a heading or not, metadata on the paragraph quality (labels, such as “short” or “good”, assigned based on paragraph length, URL and stopword density via the jusText tool - and fluency (score between 0 and 1, assigned with the Monocleaner tool -, the automatically identified language of the text in the paragraph, and information whether the paragraph contains sensitive information (identified via the Biroamer tool - As opposed to the previous version, this version has more accurate metadata on languages of the texts, which was achieved by using Google's Compact Language Detector 2 (CLD2) (, a high-performance language detector supporting many languages. Other tools, used for web corpora creation and curation, have been updated as well, resulting in an even cleaner corpus. The corpus can be easily read with the prevert parser ( Notice and take down: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please: (1) Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted. (2) Clearly identify the copyrighted work claimed to be infringed. (3) Clearly identify the material that is claimed to be infringing and information reasonably sufficient in order to allow us to locate the material. (4) Please write to the contact person for this resource whose email is available in the full item record. We will comply with legitimate requests by removing the affected sources from the next release of the corpus. This action has received funding from the European Union's Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. INEA/CEF/ICT/A2020/2278341. This communication reflects only the author’s view. The Agency is not responsible for any use that may be made of the information it contains.
dc.language.iso bul
dc.publisher Jožef Stefan Institute
dc.publisher Prompsit
dc.publisher Rijksuniversiteit Groningen
dc.publisher Universitat d'Alacant
dc.rights CC0-No Rights Reserved
dc.rights.label PUB
dc.subject web corpus
dc.title Bulgarian web corpus MaCoCu-bg 2.0
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN.SI data & tools
contact.person Miquel Esplà-Gomis Universitat d’Alacant
sponsor Connecting Europe Facility (CEF) Telecom INEA/CEF/ICT/A2020/2278341 MaCoCu - Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages Other
sponsor ARRS (Slovenian Research Agency) P6-0411 Language Resources and Technologies for Slovene nationalFunds
sponsor Jožef Stefan Institute CLARIN CLARIN.SI nationalFunds 10492856 texts 3506223084 words
files.count 2
files.size 12945215396

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