Pregled bibliografske jedinice broj: 1201399
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources // Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022) / Calzolari, Nicoletta ; Béchet, Frédéric ; Blache, Philippe ; Choukri, Khalid ; Cieri, Christopher ; Declerck, Thierry ; Goggi, Sara ; Isahara, Hitoshi ; Maegaard, Bente ; Mariani, Joseph ; Mazo, Hélène ; Odijk, Jan ; Piperidis, Stelios (ur.).
Marseille: European Language Resources Association (ELRA), 2022. str. 100-108 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Introducing the CURLICAT Corpora: Seven-language
Domain Specific
Annotated Corpora from Curated Sources
Autori
Váradi, Tamás ; Nyéki, Bence ; Koeva, Svetla ; Tadić, Marko ; Štefanec, Vanja ; Ogrodniczuk, Maciej ; Nitoń, Bartłomiej ; Pęzik, Piotr ; Barbu Mititelu, Verginica ; Irimia, Elena ; Mitrofan, Maria ; Tufiș, Dan ; Garabík, Radovan ; Krek, Simon ; Repar, Andraž
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)
/ Calzolari, Nicoletta ; Béchet, Frédéric ; Blache, Philippe ; Choukri, Khalid ; Cieri, Christopher ; Declerck, Thierry ; Goggi, Sara ; Isahara, Hitoshi ; Maegaard, Bente ; Mariani, Joseph ; Mazo, Hélène ; Odijk, Jan ; Piperidis, Stelios - Marseille : European Language Resources Association (ELRA), 2022, 100-108
ISBN
979-10-95546-72-6
Skup
13th Language Resources and Evaluation Conference (LREC2022)
Mjesto i datum
Marseille, Francuska, 20.06.2022. - 25.06.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
national corpora ; comparable corpora ; domain corpora
Sažetak
This article presents the current outcomes of the CURLICAT CEF Telecom project, which aims to collect and deeply annotate a set of large corpora from selected domains. The CURLICAT corpus includes 7 monolingual corpora (Bulgarian, Croatian, Hungarian, Polish, Romanian, Slovak and Slovenian) containing selected samples from respective national corpora. These corpora are automatically tokenized, lemmatized and morphologically analysed and the named entities annotated. The annotations are uniformly provided for each language specific corpus while the common metadata schema is harmonised across the languages. Additionally, the corpora are annotated for IATE terms in all languages. The file format is CoNLL-U Plus format, containing the ten columns specific to the CoNLL-U format and three extra columns specific to our corpora as defined by Varádi et al. (2020). The CURLICAT corpora represent a rich and valuable source not just for training NMT models, but also for further studies and developments in machine learning, cross- lingual terminological data extraction and classification.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti, Filologija
