Претрага
203 items
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LRMI markup of OER content within the BAEKTEL project
Ranka Stanković, Daniela Carlucci, Olivera Kitanović, Nikola Vulović, Bojan Zlatić. "LRMI markup of OER content within the BAEKTEL project" in The Sixth International Conference on e-Learning (eLearning-2015), September 2015, Belgrade, Serbia, Belgrade : Belgrade Metropolitan Univesity (2015) M33
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Coal homogenization stockyard sizing “Tamnava – Zapad” case study
Božo Kolonja, Dinko Knežević, Ranka Stanković, Dejan Stevanović, Detlef Trummer. "Coal homogenization stockyard sizing “Tamnava – Zapad” case study" in Proceedings of 13th International Symposium Continuous Surface Mining, ISCSM 2016, / (2016) M33
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Digitalni resursi za upravljanje kvalitetom uglja
Stanković Ranka, Kolonja Božo, Jovanović Mirjana, Kitanović Olivera, Stevanović Dejan. "Digitalni resursi za upravljanje kvalitetom uglja" in Međunarodni simpozijum Elektrane, Beograd:Društvo Termičara Srbije (2008): 67-75 M33
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Rule-based Automatic Multi-word Term Extraction and Lemmatization
In this paper we present a rule-based method for multi-word term extraction that relies on extensive lexical resources in the form of electronic dictionaries and finite-state transducers for modelling various syntactic structures of multi-word terms. The same technology is used for lemmatization of extracted multi-word terms, which is unavoidable for highly inflected languages in order to pass extracted data to evaluators and subsequently to terminological e-dictionaries and databases. The approach is illustrated on a corpus of Serbian texts from ...Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, Aleksandra Trtovac. "Rule-based Automatic Multi-word Term Extraction and Lemmatization" in Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016, Portorož, Slovenia, 23--28 May 2016, European Language Resources Association (2016) M33
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Advantages and challenges in presenting mathematical content using EDX platform
Marija Radojičić, Ivan Obradović, Ranka Stanković, Olivera Kitanović, Roberto Linzalone. "Advantages and challenges in presenting mathematical content using EDX platform" in The Seventh International Conference on e-Learning (eLearning-2016), Belgrade : Metropolitan University (2016) M33
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Towards translation of educational resources using GIZA++
Ivan Obradović, Dalibor Vorkapić, Ranka Stanković, Nikola Vulović, Miladin Kotorčević. "Towards translation of educational resources using GIZA++" in The Seventh International Conference on e-Learning (eLearning-2016), September 2016, Belgrade : Metropolitan Univesity (2016) M33
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The Dictionary of the Serbian Academy: from the Text to the Lexical Database
In this paper we discuss the project of digitization of the Dictionary of the Serbo-Croatian Standard and Vernacular Language. Scanning and character recognition were a particular challenge, since various non-standard character set encoding was used in the course of the almost 60-year long production of the dictionary. The first aim of the project was to formalize the micro-structure of the dictionary articles in order to parse the digitized text of and transform it into structured data stored in relational lexical database. This approach ...Ranka Stanković, Rada Stijović, Duško Vitas, Cvetana Krstev, Olga Sabo. "The Dictionary of the Serbian Academy: from the Text to the Lexical Database" in Proceedings of the XVIII EURALEX International Congress: Lexicography in Global Contexts, Ljubljana : Ljubljana University Press, Faculty of Arts (2018) M33
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Resource-based WordNet Augmentation and Enrichment
In this paper we present an approach to support production of synsets for SerbianWordNet(SerWN)byadjustingPrincetonWordNet(PWN)synsetsusing several bilingual English-Serbian resources. PWN synset definitions were automatically translated and post-edited, if needed, while candidate literals for Serbian synsets were obtained automatically from a list of translational equivalents compiled form bilingual resources. Preliminary results obtained from a setof1248selectedPWNsynsetsshowthattheproducedSerbiansynsetscontain 4024 literals, out of which 2278 were offered by the system we present in this paper, whereas experts added the remaining 1746. Approximately one half of ...Ranka Stanković, Miljana Mladenović, Ivan Obradović, Marko Vitas, Cvetana Krstev. "Resource-based WordNet Augmentation and Enrichment" in Proceedings of the Third International Conference Computational Linguistics in Bulgaria (CLIB 2018), May 27-29, 2018, Sofia, Bulgaria, Sofia : The Institute for Bulgarian Language Prof. Lyubomir Andreychin, Bulgarian Academy of Sciences (2018) M33
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Развој геолошког терминолошког речника ГеолИССТерм
Ranka Stanković, Branislav Trivić, Olivera Kitanović, Branislav Blagojević, Velizar Nikolić. "Развој геолошког терминолошког речника ГеолИССТерм" in INFOteka: časopis za informatiku i bibliotekarstvo, Beograd : Zajednica biblioteka univerziteta u Srbiji (2011) M52
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Razvoj ARCGIS geobaze površinskog kopa korišćenjem UML CASE alata
Aleksandra Tomašević, Ljiljana Kolonja, Ivan Obradović, Ranka Stanković, Olivera Kitanović. "Razvoj ARCGIS geobaze površinskog kopa korišćenjem UML CASE alata" in Podzemni radovi, Beograd : Univerzitet u Beogradu - Rudarsko-geološki fakultet (2012) M52
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Application of stochastic models for mine planning and coal quality control
Dejan Stevanović, Božo Kolonja, Ranka Stanković, Dinko Knežević, Mirjana Banković. "Application of stochastic models for mine planning and coal quality control" in Thermal Science, Belgrade : Vinča Institute of Nuclear Sciences (2014). https://doi.org/10.2298/TSCI130201031S M23
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Development of terminological resources for expert knowledge: a case study in mining
Ljiljana Kolonja, Ranka Stanković, Ivan Obradović, Olivera Kitanović, Aleksandar Cvjetić. "Development of terminological resources for expert knowledge: a case study in mining" in Knowledge Management Research & Practice, Palgrave Macmillan (2015). https://doi.org/10.1057/kmrp.2015.10 M23
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Evaluation of microbial diversity of the microbial mat from the extremely acidic Lake Robule (Bor, Serbia)
Srđan Stanković., Branka Vasiljević, Sanja Jeremić, Vladica Cvetković, Ivana Morić. "Evaluation of microbial diversity of the microbial mat from the extremely acidic Lake Robule (Bor, Serbia)" in Botanica Serbica 1 no. 41 (2017): 47-54 M24
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Programsko rešenje BpUBS
Tomašević Aleksandra, Stevanović Dejan, Kolonja Ljiljana, Jovanović Mirjana, Stanković Ranka. "Programsko rešenje BpUBS" in 33039 (2012) M86
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A Mathematical Learning Environment Based on Serbian Language Resources
In recent years, in line with ever growing usage of Information technology, the learning environments are changing. The amount of available learning materials in various forms has increased. These new environments demand comprehensive learning systems, which enable management of the learning corpus with special attention paid to relevant lexical resources. In this paper we present the concept of a Mathematical Learning Environment in Serbian (MLES), which is based on a corpus of mathematical materials and various lexical resources, enabling ...Radojičić Marija, Obradović Ivan, Stanković Ranka, Utvić Miloć, Kaplar Sebastijan. "A Mathematical Learning Environment Based on Serbian Language Resources" in Proceedings of the 7th International Scientific Conference Technics and Informatics in Education, Faculty of Technical Sciences, Čačak (2018) М33
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Развој геолошког информационог система Републике Србије
Геолошки информациони систем Србије (ГеолИСС) је пројектован, првенствено, са намером ефикасног дигиталног архивирања геолошких и њима сродних података. У овом раду је приказана структура базе података као основа за развој геолошки конципираног ГИС-а. Нови, објектно орјентисани (О-О) начин моделирања омогућио је дефинисање самосталних типова објеката, хијерархијски повезаних кроз тополошке и друге релације, чиме је обезбеђена њихова медјусобна интеракција. Објектно оријентисано моделирање извршено је коришћењем унифицираног језика моделирања (UML) и CASE алата, кроз концептуални и логички ниво. Физички модел ће ...Бранислав Благојевић, Бранислав Тривић, Ненад Бањац, Ранка Станковић, Велизар Николић. "Развој геолошког информационог система Републике Србије" in 14. конгрес геолога Србије и Црне Горе са међународним учешћем, Нови Сад, 18-20. октобар 2005, Cpпско геолошко друштво и Caвeз геолошких друштава Србије и Црне Горе (2005) М63
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Managing mining project documentation using human language technology
Purpose: This paper aims to develop a system, which would enable efficient management and exploitation of documentation in electronic form, related to mining projects, with information retrieval and information extraction (IE) features, using various language resources and natural language processing. Design/methodology/approach: The system is designed to integrate textual, lexical, semantic and terminological resources, enabling advanced document search and extraction of information. These resources are integrated with a set of Web services and applications, for different user profiles and use-cases. Findings: The ...Digital libraries, Information retrieval, Data mining, Human language technologies, Project documentationAleksandra Tomašević, Ranka Stanković, Miloš Utvić, Ivan Obradović, Božo Kolonja . "Managing mining project documentation using human language technology" in The Electronic Library (2018). https://doi.org/10.1108/EL-11-2017-0239 М23
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Претрага корпуса заснована на употреби екстерних лексичких ресурса путем веб-сервиса
У раду се разматра хибридни приступ претрази корпуса, илустрован на примеру алатки OCWB и NoSketch Engine, примењених на специјални корпус из области рударства (РудКор) и Корпус савременог српског језика (СрпКор). Разматрани приступ комбинује постојеће могућности алатки OCWB и NoSketch Engine, које своју претрагу заснивају на лингвистичкој анотацији корпуса, са новим могућностима претраге у виду консултовања екстерних језичких ресурса (морфолошки електронски речници српског језика и лексичка база података Српски ворднет). Хибридни приступ је реализован надоградњом вебсучеља која поменуте алатке користе ...Милош Утвић, Ранка Станковић, Александра Томашевић, Михаило Шкорић, Биљана Лазић. "Претрага корпуса заснована на употреби екстерних лексичких ресурса путем веб-сервиса" in Научни састанак слависта у Вукове дане - Vol. 48/3 Српски језик и његови ресурси, Међународни славистички центар, Филолошки факултет, Универзитет у Београду (2019). https://doi.org/10.18485/msc.2019.48.3.ch12 М51
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Digital Library From A Domain Of Criminalistics As A Foundation For A Forensic Text Analysis
U ovom radu predstavljen je model koji omogućava prikupljanje, pripremu, opis metapodataka, upravljanje i eksploataciju, uključujući pretragu punog teksta dokumenata iz domena kriminalistike napisanih na srpskom jeziku. Predloženi pristup primenjuje se na veb portalu koji sakuplja različite tekstove nastale iz časopisa Akademije za kriminalistiku i policijske studije, Krivičnog zakona Srbije, konferencija „Tara“ i „Reiss“, kao i iz nekih doktorskih disertacija vezanih za ovu oblast istraživanje. Nakon obrade teksta, korpus koji sadrži preko 5500 stranica običnog teksta, kreiran je i ...Dalibor Vorkapić, Aleksandra Tomašević, Miljana Mladenović, Ranka Stanković, Nikola Vulović. "Digital Library From A Domain Of Criminalistics As A Foundation For A Forensic Text Analysis" in International Scientific Conference “Archibald Reiss Days” Thematic Conference Proceedings Of International Significance, Belgrade, 7-9 November 2017, Academy Of Criminalistic And Police Studies Belgrade (2017) М33
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Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian
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 projects over a long period of time was an important task, enabled by the development of tools that support partial automation. The supporting tools take into account different taggers and tagsets. This paper focuses on TreeTagger and spaCy taggers, and the annotation schema alignment ...Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić. "Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian" in Proceedings of the 12th Language Resources and Evaluation Conference, May Year: 2020, Marseille, France, European Language Resources Association (2020) М33