Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Cvetana Krstev"'
Publikováno v:
Terminology
28 36 2 M20 М23 Ovaj rad predstavlja resurse i alate koji se koriste za ekstrkciju i evaluaciju dvojezične, englesko-srpske terminologije u domenu energetike. Resursi se sastoje od postojeće opšte i domenske leksike i domenskog paralelnog korpus
Autor:
Agata, Savary, Cherifa Ben Khelil, Carlos, Ramisch, Voula, Giouli, Verginica Barbu Mititelu, Najet Hadj Mohamed, Cvetana, Krstev, Chaya, Liebeskind, Hongzhi, Xu, Sara, Stymne, Tunga, Güngör, Thomas, Pickard, Bruno, Guillaume, Eduard, Bejček, Archna, Bhatia, Marie, Candito, Polona, Gantar, Uxoa, Iñurrieta, Albert, Gatt, Jolanta, Kovalevskaite, Timm, Lichte, Nikola, Ljubešić, Monti, Johanna, Carla Parra Escartín, Mehrnoush, Shamsfard, Ivelina, Stoyanova, Veronika, Vincze, Abigail, Walsh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3684::4a6b68a3252f2673e7b5abbea37d5f4a
https://hdl.handle.net/11574/216660
https://hdl.handle.net/11574/216660
Autor:
Cvetana Krstev
Publikováno v:
Infotheca. 21:26-42
Publikováno v:
Infotheca. 21:7-25
Autor:
Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Duško Vitas, Mihailo Škorić, Milica Ikonić Nešić
Publikováno v:
Proceedings of the Language Resources and Evaluation Conference, June 2022, Marseille, France
3345 3337 М30 М33 In this paper we present the Serbian part of the ELTeC multilingual corpus of novels written in the time period 1840-1920. The corpus is being built in order to test various distant reading methods and tools with the aim of re-thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10287::f39ea67c217cbb64c4eb93fdd7e771a6
http://dr.rgf.bg.ac.rs/s/repo/item/6279
http://dr.rgf.bg.ac.rs/s/repo/item/6279
Autor:
Ranka Stanković, Cvetana Krstev
Publikováno v:
Infotheca
2 80 61 19 M50 М53 U ovom radu predstavljamo kako se e-rečnici i kaskade transduktora konačnih stanja implementirani u alatu Unitex mogu koristiti za rešavanje tri problema transformacije teksta: ispravljanje tekstova nakon OCR-a, vraćanje dija
Publikováno v:
RANLP
Proceedings of the Conference Recent Advances in Natural Language Processing-Deep Learning for Natural Language Processing Methods and Applications
Proceedings of the Conference Recent Advances in Natural Language Processing-Deep Learning for Natural Language Processing Methods and Applications
1260 1252 М30 М33 U ovom radu predstavljamo srpski književni korpus koji se razvija pod okriljem COST Akcije „Distant Reading for European Literary History” CA16204. Koristeći ovaj korpus romana napisanih pre više od jednog veka, razvili sm
Publikováno v:
Proceedings of the XIX EURALEX Congress of the European Assocition for Lexicography: Lexicography for Inclusion (Volume 2). 7-9 September (virtual)
Scopus-Elsevier
Scopus-Elsevier
704 695 М30 М33 U radu su prikazani preliminarni rezultati automatske ekstrakcije kandidata za definicije rečnika iz nestrukturiranih tekstova na srpskom jeziku u cilju ubrzanja razvoja rečnika. Definicije u rečniku Srpske akademije nauka i umet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d78e821a6aece20b5bf259fd800b8bf5
http://dr.rgf.bg.ac.rs/s/repo/item/5137
http://dr.rgf.bg.ac.rs/s/repo/item/5137
Publikováno v:
Natural Language Engineering
In this paper, we present two approaches and the implemented system for bilingual terminology extraction that rely on an aligned bilingual domain corpus, a terminology extractor for a target language, and a tool for chunk alignment. The two approache
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::038bc9d7e5a147899910b90a1a57d811
http://dr.rgf.bg.ac.rs/s/repo/item/4940
http://dr.rgf.bg.ac.rs/s/repo/item/4940
Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian
Publikováno v:
Proceedings of the 12th Language Resources and Evaluation Conference, May Year: 2020, Marseille, France
3962 3954 М30 М33 The training of new tagger models for Serbian is primarily motivated by the enhancement of the existing tagset with the grammatical category of a gender. The harmonization of resources that were manually annotated within different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10287::36980fe4c3f76f07ba584b1305f2c130
http://dr.rgf.bg.ac.rs/s/repo/item/5007
http://dr.rgf.bg.ac.rs/s/repo/item/5007