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Упит dcterms_subject_txt:Serbian lexical resources

465 items

  • Advantages and challenges in presenting mathematical content using EDX platform

    Marija Radojičić, Ivan Obradović, Ranka Stanković, Olivera Kitanović, Roberto Linzalone (2016)
    ... mathematical content in Serbian was emphasized. Future work will be based on a more comprehensive research related to awareness of importance of OER materials in Serbian learning environment. In parallel, improvement of lexical resources for mathematical content in Serbian will be continued. ...
    ... search adequate resources as mathematical term bases are needed. According to [11] there is a great difference between natural languages and mathematical terms. For instance, in Serbian natural language the word “prava” is an adjective but within mathematical terms in Serbian it is a noun. Thus ...
    ... how different resources can be combined in creating mathematical learning content, such as using the Termi application for mathematical terms. Some challenges in creating mathematical courses within the edX-BAEKTEL platform were pointed out. The lack of engines and resources for deeper analysis ...

  • Integrisano okruženje za pripremu paralelizovanog korpusa

    Ivan Obradović, Ranka Stanković, Miloš Utvić (2007)
    Razvoj paralelizovanih korpusa zahteva pripremu paralelnih tekstova za njihovu integraciju u paralelizovani korpus. Reč je o jednom kompleksnom zadatku koji se može rešiti na različite načine, i koji mora da se odvija u nekoliko koraka. U ovom radu najpre je iznet postupak pripreme paralelnih tekstova za paralelizovani korpus koji se koristi u Grupi za jezičke tehnologije Univerziteta u Beogradu. Potom je dat kratak pregled programa (XAlign, Concordancier, WS4LR), odnosno softverskih alata koji se pri tome koriste. Nedostatak udobnog okruženja ...
    ... 12 [3] Krstev Cvetana, Ranka Stanković, Duško Vitas, Ivan Obradović (2006): “WS4LR - a Worksation for Lexical Resources”, in Proceedings of the Fifth International Conference on Language Resources and Evaluation, Genoa, Italy, May 2006, pp. 1692- 1697. [4] Dimitrova, L., T. Erjavec, N. Ide, H.-J. ...
    ... mogućnosti vizuelizacije i korekcije paralelizovanog teksta koriste se odgovarajući moduli u okviru integrisanog okruženja WS4LR (WorkStation for Lexical Resources) razvijenog u okviru Grupe za jezičke tehnologije (Krstev et al., 2006). U svrhu konverzije TMX formata u vertikalizovan format, razvijena ...
    ... Varga. The JRC-Acquis: A multilingual aligned parallel corpus with 20+ languages. In Proceedings of the Fifth International Conference on Language Resources and Evaluation, LREC'06, ELRA, Paris, 2006. [6] Tomaž Erjavec: Compiling and Using the IJS-ELAN Parallel Corpus. Informatica, 26(3), pp. 299-307 ...

  • Development of A Business Intelligence Tool For Accident Analysis in Mines

    Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Uroš Pantelić (2015)
    ... all terms used within a domain need to be standardized, with a clear and unambiguous definition, accompanied by lexical and semantic relations with other terms. The example of lexical relations is established between general and more specific terms, such as "coal mine", and "open pit", which is ...
    ... of the first terminological resources in the field of mining was developed at the University of Belgrade Faculty of Mining and Geology (FMG) within the Technological coal mine information system (Kolonja et al, 2006). Further growth and variety of terminological resources for specific domains developed ...
    ... named RudOnto. 2. USING ONTOLOGIES TO SECURE INTEROPERABILITY Knowledge management in Serbian mining companies using ICT support for managing knowledge assets is still scarce in Serbian mining practice. However, various other applications of ICT in the field of mining have emerged in ...

  • A business intelligence approach to mine safety management

    Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Dejan Stevanović, Marija Radojičić (2016)
    ... offering some concluding remarks. 2. ICT support to KM and terminological resources in Serbia Knowledge management in Serbian mining companies using ICT support for managing knowledge assets is still scarce in Serbian mining practice. However, various other applications of ICT in the field of ...
    ... mining terminology in Serbian. The niche for this resource was found in SUKU, a mining engineering information system, also developed at FMG [8]. Recognizing the importance of ontologies as key resources for knowledge management, as well as most complex terminological resources, a methodological approach ...
    ... engineering named RudOnto. In the next section we give an overview of ICT support in knowledge management in Serbian mining companies, followed by an outline of related terminological resources developed to secure interoperability between ICT components within our BI system, but also within larger ...

  • Serbian NER&Beyond: The Archaic and the Modern Intertwinned

    Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić (2021)
    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 smo i učinili javno dostupnim Sistem za prepoznavanje imenovanih entiteta (NER) obučen da prepozna 7 različitih tipova imenovanih entiteta, sa konvolucionom neuronskom mrežom (CNN), koja ima F1 rezultat od ≈91% na test skupu podataka. Ovaj model je dalje ocenjen na posebnom skupu podataka za evaluaciju. Završavamo poređenje ...
    ... in Section 5. Finally, conclusions and plans for the future work were stated in Section 6. 2 Related Work The existence of large-scale lexical resources for Serbian, e-dictionaries in particular (Kr- stev, 2008), coupled with local grammars in the form of finite-state transducers (Vitas and Krstev, 2012) ...
    ... and Mihailo Škorić. 2020. Machine Learning and Deep Neural Network- Based Lemmatization and Morphosyntactic Tag- ging for Serbian. In Proceedings of the 12th Lan- guage Resources and Evaluation Conference, pa- ges 3954–3962. Ranka Stanković, Diana Santos, Francesca Fronti- ni, Tomaz Erjavec, and Carmen ...
    ... Named Entity Recognition and Relation Extraction of Financial News. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 2293–2299, Marse- ille, France. European Language Resources As- sociation. Ridong Jiang, Rafael E Banchs, and Haizhou Li. 2016. Evaluating and Combining Name ...

  • Употреба веб платформе Омека за дигиталне библиотеке из домена рударства

    Александра Томашевић, Биљана Лазић, Далибор Воркапић, Михаило Шкорић, Љиљана Колоња (2017)
    У овом раду биће представљена Омека, веб платформа за приказивање дигиталних колекциjа и систем за управљање њиховим садржаjем. Њену примену у области техничких наука, а конкретно у области рударства, приказаћемо на примеру дигиталне библиотеке ROmeka@RGF. За Омеку смо се определили првенствено због чињенице да jе jедноставна за коришћење, има обимну пратећу документациjу и не захтева уско специфичне информатичке вештине што jе чини приступачном за већину корисника, а нарочито за рударске инжењере, коjима jе ова дигитална библиотека првенствено намењена. Документа ...
    Омека, дигиталне библиотеке, рударство
    ... Krstev, Cvetana, Ranka Stanković, Dusko Vitas and Ivan Obradović. “The Usage of Various Lexical Resources and Tools to Improve the Performance of Web Search Engines”. In LREC, Paris, France: European Language Resources Association (ELRA), 219–224, 2008. http://lrec-conf.org/ proceedings/lrec2008/pdf/67_paper ...
    ... 3kucsma.html Lazić, Biljana, Danica Seničić, Aleksandra Tomašević and Bojan Zlatić. “Ter- minological and Lexical Resources Used to Provide Open Multilingual Educational Resources”. Belgrade, Serbia, 2016. http://www.baektel. eu/documents/conferences/eLearning_2016_BL_DS_AT_BZ.pdf Stanković ...
    ... tool for enhanced search of multilingual digital li- braries of e-journals”. In Proceedings of the Eighth International Confe- rence on Language Resources and Evaluation (LREC), Istanbul, Turkey, 1710–1717, 2012. http://www.lrec-conf.org/proceedings/lrec2012/ pdf/375_Paper.pdf Stanković, Ranka, Cvetana ...

  • Infotheca (Q25460443) in Wikidata

    Ranka Stanković, Lazar Davidović (2021)
    Vikipodaci su baza znanja Zadužbine Vikimedija koja predstavlja zajednički izvor različitih vrsta podataka koje koriste ne samo drugi Vikipedijini projekti, već sve više i brojne aplikacije semantičkog veba. U ovom radu ćemo prezentovati primer integracije Vikipodataka sa digitalnim bibliotekama i eksternim sistemima, kao i mogućnost ubrzanja pripreme i unosa podataka na primeru radova iz časopisa za digitalnu humanistiku Infoteka.
    semantički veb,otvoreni povezani podaci, vikpodaci,Infoteka, metapodaci časopisa
    ... and Olivera Kitanović. 2019. “Bilin- gual lexical extraction based on word alignment for improving corpus search.” The Electronic Library. Krstev, Cvetana, Jelena Jaćimović, Branislava Šandrih, and Ranka Stanković. 2019. “Analysis of the first Serbian Literature Corpus of the Late 19th and Early ...
    ... Ševkušić, and Stakić 2015). Wikiadata, as an open data network was used by Andonovski (Андоновски 2020) to describe lan- guage resources, namely, novels forming part of the Serbian-German literary corpus (Andonovski, Šandrih, and Kitanović 2019). For a number of years now, students at the Faculty of Mining ...
    ... Action CA16204 (2017-2021) metadata about Serbian novels included in the srpELTEC corpus is being entered into the knowledge base (Krstev et al. 2019) and Wikidata linked to various applications, one of which is Au- rora.14 Members of JeRTeh Language Resources and Technologies Society15 too contributed ...

  • Social-Emo.Sr: Emotional Multi-Label Categorization of Conversational Messages from Social Networks X and Reddit

    Milena Šošić, Ranka Stanković, Jelena Graovac (2024)
    U digitalnom okruženju južnoslovenskih jezika, analiza emocija u tekstovima na društvenim mrežama postaje sve važnija za razumevanje javnog mnjenja, kreiranje personalizovanog sadržaja i analizu međusobnih interakcija korisnika. U okviru ovog rada predstavljamo detaljnu metodologiju i rezultate označavanja korpusa na srpskom jeziku prema Plutčikovom modelu kategorizacije, koji prepoznaje osam osnovnih emocionalnih kategorija, kao što su radost, tuga, bes, strah, poverenje, gađenje, iščekivanje i iznenađenje. Cilj istraživanja je da se analizira emocionalni sadržaj tekstova preuzetih sa društvenih mreža X (nekada Twitter) ...
    emocije, Plutčikov model, označavanje, korpus, društvene mreže, srpski jezik

  • Frequency and Length of Syllables in Serbian

    Marija Radojičić, Biljana Lazić, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović, Ján Mačutek, Lívia Leššová (2019)
    Basic analyses of several properties of syllables (the rank-frequency distribution, the distribution of length, and the relation between length and frequency) in Serbian is presented. The syllabification algorithm used combines the maximum onset principle and the sonority hierarchy. Results indicate that syllables behave similarly to words as far as mathematical models are concerned, but values of parameters in models for syllables are quite different from those for words.
    frekvencije slogova, dužina slogova, srpski jezik
    ... laterals (l, lj), a vibrant (r) and semivowels (v, j). The Serbian language uses two alphabets: Latin and Cyrillic. Serbian graphemes are presented in Table 1, first Latin ones, then, in brackets, their Cyrillic equivalents14. Every phoneme in Serbian can be presented by a grapheme or by a digraph, in ...
    ... Length of Syllables in Serbian Marija Radojičić, Biljana Lazić, Sebastijan Kaplar, Ranka Stanković, Ivan Obradović, Ján Mačutek, Lívia Leššová Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Frequency and Length of Syllables in Serbian | Marija Radojičić, Biljana ...
    ... organized as follows. The syllabification algorithm is described in Section 2. Section 3 presents some properties of Serbian phonology that are relevant for syllabification, and the Serbian alphabets (both Latin and Cyrillic). Then, the language material used is introduced. In Section 4, mathematical models ...

  • Developing Termbases for Expert Terminology under the TBX Standard

    http://gabp-dl.rgf.rs/s/repo/item-set/522 (2014)
    ... that repurposes existing lexical resources to maximize efficiency. Terms extracted from corpora and subsequently translated should be channeled into the company termbase, so that they can be leveraged for other purposes. Acknowledgments. This research was supported by the Serbian Ministry of Education ...
    ... Ranka Stankovié, Dusko Vitas, and Ivan Obradovié. WS4LR: A Workstation for Lexical Resources. In Proceedings of the Fifth International Con- ference on Language Resources and Evaluation (LREC’06). European Language Resources Association (ELRA), 2006. Ch. Lieske, S$. McCormick, and G. Thurmair. The Open ...
    ... Faculty of Mining and Geology (FMG) has initiated several years ago the development of terminological resources in the area of mining amd geology, both monolingual for Serbian and multilingual with Serbian as one of the languages. In this paper we describe the approach to develop- ment of these termbases ...

  • Srbija u OneGeology Europe

    Danka Blagojević, Ranka Stanković, Petar Stejić, Velizar Nikolić (2014)
    Геолошки завод Србије као носилац Пројекта ОneGeologyEurope заједно са Рударско геолошким факултетом и Министарством за природне ресурсе, рударство и просторно планирање су се укључили у међународни Пројекат OneGeology Europe у мају 2013. године у већ поодмаклој фази израде Пројекта. До краја 2013. године испунили су завршене активности које треба да доведу до пуноправног укључења у Пројекат чиме је Република Србија нашла своје место на Геолошкој карти Европе 1:1М. Геолошка карта Србије 1:1М представља компилациону односно поједностављену верзију ОГК 1:500 ...
    OneGeologyEurope, метаподаци, хармонизација података, вишејезични мета-информациони систем
    ... Stanković, R., Obradović, I., Kitanović, O. (2010): GIS Application Improvement with Multilingual Lexical and Terminological Resources, Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2010, Valetta, Malta, 2283-2287. Stephen M. R. and CGI Interoperability Working ...
    ... Stanković, R., Obradović, I., Kitanović, O. (2010): GIS Application Improvement with Multilingual Lexical and Terminological Resources, Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC 2010, Valetta, Malta, 2283-2287. Stephen M. R. and CGI Interoperability Working ...
    ... Specification for Spatial Geological Data in Europe, http://arkisto.gtk.fi/metatieto/onegeologywp3-dataspecv5.pdf, ECP- 2007-GEO-317001. GeoSciML Resources repository http://www.geosciml.org (accessed May, 2011) http://inspire.ec.europa.eu/ One Geology - Making Geological Map Data for the Earth Accessible ...

  • Keyword Extraction from Parallel Abstracts of Scientific Publications

    Slobodan Beliga, Olivera Kitanović, Ranka Stanković, Sanda Martinčić-Ipšić (2017)
    ... terminology extraction in the Serbian language used the rule-based method for multi-word term extraction that relies on lexical resources for modeling various syntactic structures of multi-word terms. It is applied in several domains, also among them is the corpus of Serbian texts from the geology and mining ...
    ... Pavlović-Lazetić, G., Stanojević, M.: The Serbian Language in the Digital Age. META-NET White Paper Series. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30755-3. Rehm, G., Uszkoreit, H. (Series eds.) 18. Krstev, C., Vitas, D., Stanković, R.: A lexical approach to acronyms and their definitions ...
    ... suffixes from words). For preprocessing of texts in the Serbian language we use: (1) Stop-word list - prepared at the Human Language Technology Group at the University of Belgrade [30], and (2) a Serbian lemmatizer. For lemmatization, we use Serbian morphological elec- tronic dictionaries and grammars ...

  • Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model

    Milica Ikonić Nešić, Saša Petalinkar, Mihailo Škorić, Ranka Stanković, Biljana Rujević (2024)
    Ova studija predstavlja analizu sentimenta srpskih starih romana iz perioda 1840-1920, koristeći veliki jezički model (LLM) Mistral za tehniku učenja sa zasnovani na takozvanim "zero" i "few-shot" pokušajima. Glavni pristup uvodi inovacije osmišljavanjem istraživačkih upita (promptova) uključuju tekst sa uputstvom za klasifikaciju bez primera i na osnovu nekoliko primera, omogućavajući jezičkom modelu da klasifikuje osećanja u pozitivne, negativne ili objektivne kategorije. Ova metodologija ima za cilj da pojednostavi analizu osećanja ograničavanjem odgovora, čime se povećava preciznost ...
    zero-shot, few-shot, sentiment, Serbian, Mistral model

  • Речник САНУ као база терминолошких речника (на примеру речника кулинарства)

    Рада Стијовић, Олга Сабо, Ранка Станковић (2017)
    ... research are also used syntactic graphs for the extraction of multiword lexical units that are allocated to the frequency of terms that are significantly more frequent in a culinary text than in the corpus of contemporary Serbian language. Using this approach, we were able to identify extremely rich ...
    ... with appropriate qualifiers. As a starting point, we used a digitized version of the Great Serbian chef Katarina Popovic Midžine (processed using Unitex tool and morphological dictionaries for Serbian language in DELA format). After this we applied Leximir tool to extract a list of the lemma ...
    ... frequencies in the cookbook, which are then filtered and classified by applying semantic markers. The obtained list was compared to a list of the lexical entry of the SASA dictionary; extracted the entries from the Dictionary that have no information about the culinary domain (should be amended) ...

  • Глаголи у кухињи и за столом

    Цветана Крстев, Биљана Лазић (2015)
    У раду је приказано истраживање лексике на српском језику кулинарског домена које се заснива на коришћењу доменског корпуса, електронских лексичких ресурса, пре свега WordNet-а и морфолошких речника, и локалних граматика. Приказане су доменске специфичности ових ресурса, како се користе, и међусобно употпуњују. Посебно је приказано како се коришћењем доменског корпуса могу екстраховати глаголи специфични за кулинарски домен и описати начини њиховог коришћења. Дат је попис глагола са основним подацима који је добијен применом представљених метода.
    аутоматска обрада, коначни трансдуктори, електронски речници, семантичке мреже, локалне граматике, кулинарство
    ... a research of the lexica of the culinary domain in Serbian based on the use of the domain corpus, electronic lexical resources – WordNet and morphologcila dictionaries – and local grammars. We presented the domain characteristics of these resources, how they can be used for research and for mutal enrichment ...
    ... Krstev, Processing of Serbian – Automata, Texts and Electronic dictionaries. Belgrade: Faculty of Philology, University of Belgrade. 9. КРСТЕВ И ДР. 2014: Cvetana Krstev, Staša Vujičić Stanković, Duško Vitas, “Approximate Measures in the Culinary Domain: Ontology and Lexical Resources”, in Proceedings ...
    ... Duško Vitas, Ljubomir Popović, Cvetana Krstev, Ivan Obradović, Gordana Pavlović-Lažetić, Mladen Stanojević. Српски језик у дигиталном добу -- The Serbian Language in the Digital Age, Springer, in “META-NET White Paper Series”, Georg Rehm and Hans Uszkoreit (Series Editors). 2. ВУЈИЧИЋ СТАНКОВИЋ И ...

  • Чији је пример? Анализа лексичких обележја на примерима Речника САНУ

    Бранислава Б. Шандрих, Ранка М. Станковић, Мирјана С. Гочанин (2019)
    У овом раду поставља се питање: да ли се може утврдити ко је аутор неког текста уколико се анализирају искључиво његова лексичка обележја? Како бисмо покушали да добијемо одговор на ово питање, посматрали смо примере у оквиру речничког чланка појединачне лексеме Речника САНУ, који су забележени у пет томова (и то: I, II, XVIII, XIX и XX). Сваки пример је преузет из неког извора на шта упућују скраћенице, наведене у заградама. Од преко 5.000 понуђених извора, определили смо се ...
    идентификација ауторства, лексичка обележја, анализа обележја, примери Речника САНУ
    ... DICTIONARY OF SERBIAN ACADEMY OF SCIENCE AND ARTS Summary The question we ask ourselves in this paper is the following: Is it possible to determine who is the author of a text by analyzing various lexical features? In order to try to get an answer, we observed examples that support lexical entries listed ...
    ... volumes of the Dictionary of Serbian Academy of Science and Arts. Each dictionary example is documented with its author, so we decided to examine only examples that origin from twelve great names in the domestic literature. For each author’s example, we extracted different lexical features, and then we ...
    ... српскохрватског књижевног и народног језика сану, Београд: САНУ, VII‒XXVI. Витас/Крстев 2012: Duško Vitas & Cvetana Krstev, Processing of Corpora of Serbian Using Electronic Dictionaries. Prace Filologiczne, vol. LXIII, Warszawa, 279–292. Вуловић/Ђинђић/Радоњић 2008: Наташа Вуловић, Марија Ђинђић и Да- ...

  • SrpELTeC on Platforms: Udaljeno čitanje, Aurora, NoSketch

    Ranka Stanković, Mihailo Škorić, Petar Popović (2022)
    Serbian ELTeC collection (100 novels and extended) developed within COST action CA16204 Distant Reading for European Literary History comprises at this moment 111 novels published in the period 1840-1920. Such a valuable resource is and will be used for various lexical and linguistic research, by using different tools and methodologies. In this paper, three platforms on which these novels are published will be presented: “Udaljeno ˇcitanje”, Aurora and Sketch Engine.
    удаљено читање, књижевни корпус, дигитална библиотека, конкорданце, ELTeC

  • Using Query Expansion for Cross-Lingual Mathematical Terminology Extraction

    Velislava Stoykova, Ranka Stanković (2018)

  • Football terminology: compilation and transformation into OntoLex-Lemon resource

    Jelena Lazarević, Ranka Stanković, Mihailo Škorić, Biljana Rujević (2023)
    У овом раду представља се пројекат који је у развоју, креирање првог дигиталног фудбалског речника на српском језику, као и да демонстрација примене модела OntoLex и љегових модула. OntoLex-FrAC модул укључује информације о учесталости и примерима употребе екстрахованих из корпуса. У овом случају, креиран је корпус за специфичан домен под називом СрФудКо, који садржи чланке вести о фудбалу на српском језику. Вишечлани термини аутоматски су екстраховани из српског корпуса, а затим ручно евалуирани и класификовани као спортски или ...
    повезани отворени подаци, корпус, СрФудКо, OntoLex, OntoLex-FrAC

  • Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names

    Branislava Šandrih, Cvetana Krstev, Ranka Stanković (2019)
    In this paper we present a rule- and lexicon-based system for the recognition of Named Entities (NE) in Serbian news paper texts that was used to prepare a gold standard annotated with personal names. It was further used to prepare training sets for four different levels of annota tion, which were further used to train two Named Entity Recognition (NER) sys tems: Stanford and spaCy. All obtained models, together with a rule- and lexicon based system were evaluated on ...
    NER, Named Entity Recognition Systems, Serbian, Personal Names
    ... Proceedings of the Third Interna- tional Conference on Language Resources and Evaluation (LREC’02). European Language Resources Association (ELRA), Las Palmas, Canary Islands - Spain. http://www.lrec- conf.org/proceedings/lrec2002/pdf/120.pdf. Serbian NER team. 2019. NER&Beyond. http:// nerbeyond.jerteh.rs/ ...
    ... Portuguese, French, Italian, Dutch and Serbian; StanfordNER module provides Named Entity annotation using STANFORD NER models (Manning et al., 2014), which are available for Serbian, English and German with dif- ferent levels of details, e.g. number of NE classes. Serbian model is developed withing presented ...
    ... Recognition Systems for Serbian - The Case of Personal Names Branislava Šandrih, Cvetana Krstev, Ranka Stanković Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal ...