Претрага
422 items
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Non-metallic resources as a significant additional coal open pits income, (possible $ scenario), kolubara coal mines, Serbia
Vučkovic Bogoljub, Nesic Duško, Bogdanović Vesna, Draško Zoran, Klemčić Goran. "Non-metallic resources as a significant additional coal open pits income, (possible $ scenario), kolubara coal mines, Serbia" in Proceedings 162th Annual Meeting of the Deutche Gesellschaft fur Geowissenschaften & 99th Annual Meeting of the Geologiche Vereinigung e.V. & 8th Europea Coal Conference, GeoDarmstadt 1, Darmstadt, Germany:Schriftenreihe der Deutschen Gesellschaft fur Geowissenschaften SDGG (2010): 582-582
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A Data Driven Approach for Raw Material Terminology
Olivera Kitanović, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić, Ivan Babić, Ljiljana Kolonja (2021)The research presented in this paper aims at creating a bilingual (sr-en), easily searchable, hypertext, born-digital, corpus-based terminological database of raw material terminology for dictionary production. The approach is based on linking dictionaries related to the raw material domain, both digitally born and printed, into a lexicon structure, aligning terminology from different dictionaries as much as possible. This paper presents the main features of this approach, data used for compilation of the terminological database, the procedure by which it has ...sirovine, rudarstvo, terminologija, rečnik, terminološka aplikacija, mobilna aplikacija, digitizacija, leksički podaci, korpusi, otvoreni povezani podaci... on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan, 7–12 May 2018; European Language Resources Association (ELRA): Miyazaki, Japan, 2018. 40. šandrih, B.; Krstev, C.; Stanković, R. Two approaches to compilation of bilingual multi-word terminology lists from lexical resources. Nat. Lang ...
... database, the procedure by which it has been generated and a mobile application for its use. Available (terminological) resources will be presented—paper dictionaries and digital resources related to the raw material domain, as well as general lexica morphological dictionaries. Resource preparation started ...
... database, the procedure by which it has been generated and a mobile application for its use. Available (terminological) resources will be presented—paper dictionaries and digital resources related to the raw material domain, as well as general lexica morphological dictionaries. Resource preparation started ...Olivera Kitanović, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić, Ivan Babić, Ljiljana Kolonja. "A Data Driven Approach for Raw Material Terminology" in Applied Sciences, MDPI AG (2021). https://doi.org/10.3390/app11072892
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Sustainable use of groundwater resources in terms of increasing the capacity of two interconnected groudwater sources: a case study Bečej (Serbia)
Polomčić Dušan, Đekić Milan, Milosavljević Zoran, Popović Zorica, Milaković Miroslav, Ristić-Vakanjac Vesna, Krunić Olivera (2011)Polomčić Dušan, Đekić Milan, Milosavljević Zoran, Popović Zorica, Milaković Miroslav, Ristić-Vakanjac Vesna, Krunić Olivera. "Sustainable use of groundwater resources in terms of increasing the capacity of two interconnected groudwater sources: a case study Bečej (Serbia)" in 11 th International Multidisciplinary Scientific Geo conference / EXPO SGEM 2011-Modern Menagement of Mine Producing, Geology and Environmental Protection, Sofija, Bugarska:International Multidisciplinary Scientific GeoConference & EXPO SGEM (2011): 599-605
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Adaptation and migration measures for sustainable use of karst groundwater as a response on climate change - Eastern Serbia case example
Stevanović Zoran, Dokmanović Petar, Milanović Saša, Ristić-Vakanjac Vesna, Polomčić Dušan, Vasić Ljiljana (2013)Stevanović Zoran, Dokmanović Petar, Milanović Saša, Ristić-Vakanjac Vesna, Polomčić Dušan, Vasić Ljiljana. "Adaptation and migration measures for sustainable use of karst groundwater as a response on climate change - Eastern Serbia case example" in Proceedings of International Conference Climate Change Impacts on Water Resources, Beograd:Water Resources Jaroslav Černi Institute for the Development (2013): 243-250
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Need to Improve the Natural Aggregate Resources Supply in the City of Belgrade (Serbia)
Simić Vladimir, Abramović Filip, Andrić Nevena, Delić Ivana, Miladinović Zoran, Životić Dragana (2016)Simić Vladimir, Abramović Filip, Andrić Nevena, Delić Ivana, Miladinović Zoran, Životić Dragana. "Need to Improve the Natural Aggregate Resources Supply in the City of Belgrade (Serbia)" in Acta Montanistica Slovaca 3 no. 21, :Union of Metallurgy, Mining Industry and Geology of Slovak Republic, the Slovak Mining Society, the Faculty of Mining, Ecology, Process Control and Geotechnologies (FBERG) of the Technical University (2016): 191-199
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Using English Baits to Catch Serbian Multi-Word Terminology
In this paper we present the first results in bilingual terminology extraction. The hypothesis of our approach is that if for a source language domain terminology exists as well as a domain aligned corpus for a source and a target language, then it is possible to extract the terminology for a target language. Our approach relies on several resources and tools: aligned domain texts, domain terminology for a source language, a terminology extractor for a target language, and a ...aligned texts, word alignment, terminology extraction, electronic dictionaries, morphological inflection... terminology resources, especially for lan- guages for which terminology in many fields is transferred and adapted from other languages. Such is the case for Ser- bian for which terminological resources in many domains, if existing, tend to be obsolete. Purely manual production of terminological resources is not ...
... In (Ananiadou et al., 2012) lexical resources for En- glish obtained grades 4.5–6 for all seven criteria, avail- ability rated as excellent (the highest grade 6). To the contrary, the similar survey for Serbian (Vitas et al., 2012) showed that lexical resources are much less de- veloped – they were ...
... differ both in resources and techniques used and in purpose for which they are compiled. In several cases the bilingual MWE lists are produced in order to improve statistical machine transla- tion (Bouamor et al., 2012; Tsvetkov and Wintner, 2010) or to help developing certain lexical resources in the tar- ...Cvetana Krstev, Branislava Šandrih, Ranka Stanković. "Using English Baits to Catch Serbian Multi-Word Terminology" in Proceedings of the 11th International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018, European Language Resources Association (ELRA) (2018)
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Towards translation of educational resources using GIZA++
... translation of educational resources using GIZA++ Ivan Obradović, Dalibor Vorkapić, Ranka Stanković, Nikola Vulović, Miladin Kotorčević Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Towards translation of educational resources using GIZA++ | Ivan Obradović ...
... education accessible to anyone, anywhere – regardless of what language they speak. 3. TRANSLATION OF EDUCATIONAL RESOURCES - CURRENT APPROACHES For translation of eLearning resources both language translation, and eLearning skills are necessary. The translation team needs knowledge of various software ...
... tool, and it therefore requires extra resources. Its execution process requires a larger amount of RAM, which in our case was 16GB. Corpus Preparation For our research we used five text collections, three of them being scientific journals and two resources produced within international projects ...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)
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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 ...... Repository is available at: www.dr.rgf.bg.ac.rs Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pages 3954–3962 Marseille, 11–16 May 2020 c© European Language Resources Association (ELRA), licensed under CC-BY-NC 3954 Machine Learning and Deep Neural Network-Based ...
... Serbian (Utvić, 2011), and discussed in Section 4. The paper ends with concluding remarks and an outline of future work in Section 5. 2. Resources The main resources used for the production of the new tag- ger model for Serbian are: (a) Serbian morphological dic- tionaries (Cvetana Krstev, Duško Vitas ...
... for central and eastern european languages. Lan- guage resources and evaluation, 46(1):131–142. Gavrilidou, M., Labropoulou, P., Piperidis, S., Giouli, V., Calzolari, N., Monachini, M., Soria, C., and Choukri, K. (2006). Language resources production models: the case of the intera multilingual corpus ...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)
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Electronic Dictionaries - from File System to lemon Based Lexical Database
In this paper we discuss some well-known morphological descriptions used in various projects and applications (most notably MULTEXT-East and Unitex) and illustrate the encountered problems on Serbian. We have spotted four groups of problems: the lack of a value for an existing category, the lack of a category, the interdependence of values and categories lacking some description, and the lack of a support for some types of categories. At the same time, various descriptions often describe exactly the same ...... Seventh confer- ence on International Language Resources and Evalu- ation (LREC’10), Valletta, Malta, may. European Lan- guage Resources Association (ELRA). Maks, I., Tiberius, C., and van Veenendaal, R. (2008). Standardising Bilingual Lexical Resources According to the Lexicon Markup Framework. In ...
... et al., 2011) etc. The lemon model was implemented in sev- eral well-known and widely used resources (BabelNet, DB- pedia, WordNet), proving that it can be useful in bringing complementary lexical resources together within a single framework. 2. Related work In order to develop a concrete and general ...
... et al., 2011)). The lemon approach has been successfully used for com- prehensive NLP resources (Bosque-Gil et al., 2016, Vil- legas and Bel, 2015). The lemon model was also imple- mented in well-known resources such as BabelNet and DB- pedia. A paper dealing with WordNet conversion to lemon model ...Ranka Stanković, Cvetana Krstev, Biljana Lazić, Mihailo Škorić. "Electronic Dictionaries - from File System to lemon Based Lexical Database" in Proceedings of the 11th International Conference on Language Resources and Evaluation - W23 6th Workshop on Linked Data in Linguistics : Towards Linguistic Data Science (LDL-2018), LREC 2018, Miyazaki, Japan, May 7-12, 2018, European Language Resources Association (ELRA) (2018)
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Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC
OntoLex, dominantni standard zajednice za mašinski čitljive leksičke resurse u kontekstu RDF-a, Linked Data i tehnologija Semantičkog veba, trenutno se proširuje sa posebnim modulom za Frekvencije, Primere i Informacije zasnovane na Korpusu (OntoLex-FrAC). Predlažemo novi komponent za OntoLex-FrAC, koji se bavi inkorporacijom korpusnih upita za (a) povezivanje rečnika sa korpusnim mašinama, (b) omogućavanje RDF baziranih web servisa da dinamički razmenjuju korpusne upite i podatke odgovora, i (c) korišćenje konvencionalnih upitačkih jezika za formalizaciju unutrašnje strukture kolokacija, skica reči i ...standardizacija, digitalna leksikografija, OntoLex, upiti korpusa, povezani podaci, Lingvistički povezani otvoreni podaciChristian Chiarcos, Ranka Stanković, Maxim Ionov, Gilles Sérasset. "Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC" in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, 20-25 May 2024, LREC (2024)
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Transboundary groundwater resources of Serbia - present status and future needs for sustainable management
Republic of Serbia is located at the crossroads of Southeast and Central Europe and belongs to the Central Balkans. With its 88,360 km2, Serbia is one of the larger countries of the Balkan Peninsula. It borders 8 countries and has at least one transboundary aquifer (TBA) with each of them. According to evaluation conducted for UNECE in 2008, Serbia has a total of 17 TBAs, out of which 15 are shared with one neighboring country, while two aquifers are shared with two or three ...Veljko Marinović, Branislav Petrović, Zoran Stevanović. "Transboundary groundwater resources of Serbia - present status and future needs for sustainable management" in Second International UNESCO Conference on Transboundary Aquifers, “ISARM2021: Challenges and the way forward”, Paris 2021, United Nations Educational, Scientific and Cultural Organization, 7, place de Fontenoy, 75352 Paris 07 SP, France (2021)
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Terminology Acquisition and Description Using Lexical Resources and Local Grammars
Acquisition of new terminology from specific domains and its adequate description within terminological dictionaries is a complex task, especially for languages that are morphologically complex such as Serbian. In this paper we present an approach to solving this task semi-automatically on basis of lexical resources and local grammars developed for Serbian. Special attention is given to automatic inflectional class prediction for simple adjectives and nouns and the use of syntactic graphs for extraction of Multi-Word Unit (MWU) candidates for ...... Description Using Lexical Resources and Local Grammars Cvetana Krstev, Ranka Stanković, Ivan Obradović, Biljana Lazić Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Terminology Acquisition and Description Using Lexical Resources and Local Grammars | Cvetana ...
... terms and integrating them with other resources for linguistic text processing; 5.3. Linguistic pre-processing with expanded dictionaries for verification of recognition of new MWU lemmas. Figure 1: Diagram of terminology acquisition using lexical resources and local grammars The newly acquired ...
... terms in dif- ferent domains, primarily the number of compo- nents they consist of, we used samples from three terminological resources for Serbian. Two terminological resources, GeolISSTerm 2 and RudOnto3 have been developed at University of Belgrade, Faculty of Mining and Geology. GeolISSTerm is ...Cvetana Krstev, Ranka Stanković, Ivan Obradović, Biljana Lazić. "Terminology Acquisition and Description Using Lexical Resources and Local Grammars" in Proceedings of the 11th Conference on Terminology and Artificial Intelligence, Granada, Spain, 2015, Granada : LexiCon (Universidad de Granada) (2015)
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Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection
Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Duško Vitas, Mihailo Škorić, Milica Ikonić Nešić (2022)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-thinking the European literary history. We present the various steps that led to the production of the Serbian sub-collection: the novel selection and retrieval, text preparation, structural annotation, POS-tagging, lemmatization and named entity recognition. The Serbian sub-collection was published ...Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Duško Vitas, Mihailo Škorić, Milica Ikonić Nešić. "Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection" in Proceedings of the Language Resources and Evaluation Conference, June 2022, Marseille, France, European Language Resources Association (2022)
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Bilingual lexical extraction based on word alignment for improving corpus search
Jelena Andonovski, Branislava Šandrih, Olivera Kitanović. "Bilingual lexical extraction based on word alignment for improving corpus search" in The Electronic Library, Emerald (2019). https://doi.org/10.1108/EL-03-2019-0056
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Multi-word Expressions for Abusive Speech Detection in Serbian
Ovaj rad predstavlja istraživanja na usavršavanju i unapređenju srpske verzije rečnika Hurtlex, višejezičnog leksikona uvredljivih reči. Posebnu pažnju posvećujemo dodavanju izraza sa više reči (polileksemskih jedinica) koji se mogu smatrati uvredljivim, jer su takvi leksički zapisi veoma važni za postizanje dobrih rezultata u mnoštvu zadataka otkrivanja uvredljivog jezika. Srpski morfološki rečnici se koriste kao osnova za čišćenje podataka i stvaranje rečnika. Istaknuta je veza sa drugim leksičkim i semantičkim resursima na srpskom jeziku i predviđena je izgradnja sistema za ...... approaches for developing this type of resources in Subsection 2.1. One of the existing, This work is licensed under a Creative Commons Attribution 4.0 International Licence. Licence details: http:// creativecommons.org/licenses/by/4.0/. 75 publicly available resources, Hurtlex, that we base our work ...
... 78% in 76 10-fold cross-validation on the binary classifier. 2.1 Resources for offensive and hate speech When developing a lexicon of hateful, offensive or abusive words, researches usually start from the existing resources: (i) subjectivity lexicons, since it is assumed that hate speech contains ...
... , 2020; Basile et al., 2019; Caselli et al., 2020). When it comes to Serbian abusive language resources and detection, the lexicon that we are working on is the first one of its kind. Still, some resources that will facilitate abusive language detection already exist. Serbian Morphological Dictionaries ...Ranka Stanković, Jelena Mitrović, Danka Jokić, Cvetana Krstev. "Multi-word Expressions for Abusive Speech Detection in Serbian" in Proceedings of the Joint Workshop on Multiword Expressions and Electronic Lexicons, Association for Computational Linguistics (2020)
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A WebGIS Decision Support System for Management of Abandoned Mines
Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis (2016)... which is particularly important for Vojvodina, as an agricultural region; and (d) water resources, both surface water and groundwater in the wider area, including hydrogeological and hydro geothermal resources. From the standpoint of environmental management, two distinct groups of abandoned mines ...
... management of mineral resources (which is part of the broader management of natural resources), environmental management and management within state bodies. The modern concept of management of mineral resources in Serbia includes comprehensive registration and monitoring of mineral resources at various stages ...
... geology three specific phases can be observed related to the exploitation process, namely: (a) mineral resources before exploitation; (b) mineral resources during exploitation; and (c) mineral resources after exploitation. The issue of abandoned mines belongs to the third phase, characterized by specific ...Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis. "A WebGIS Decision Support System for Management of Abandoned Mines" in Energies 7 no. 9 (2016): 567. https://doi.org/10.3390/en9070567
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Indexing of textual databases based on lexical resources: A case study for Serbian
In this paper we describe an approach to improvement of information retrieval results for large textual databases by pre-indexing documents using bag-of-words and Named Entity Recognition. The approach was applied on a database of geological projects financed by the Republic of Serbia in the last half century. Each document within this database is described by metadata, consisting of several fields such as title, domain, keywords, abstract, geographical location and the like. A bag of words was produced from these ...... morphological electronic dictionaries and finite state transducers for Serbian [6]. 4.1 Used Resources Lexical Resources. The resources for natural language processing of Serbian consisting of lexical resources and local grammars are being developed using the finite-state methodology as described in [1] ...
... databases based on lexical resources: A case study for Serbian Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Indexing of textual databases based on lexical resources: A case study for Serbian ...
... as well as the employees' publications. - The Repository is available at: www.dr.rgf.bg.ac.rs Indexing of textual databases based on lexical resources: A case study for Serbian Ranka Stanković1, Cvetana Krstev2, Ivan Obradović1, and Olivera Kitanović1 1 University of Belgrade, Faculty of Mining ...Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović. "Indexing of textual databases based on lexical resources: A case study for Serbian" in Semantic Keyword-based Search on Structured Data Sources : First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers, Springer (2015). https://doi.org/10.1007/978-3-319-27932-9_15
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Part of Speech Tagging for Serbian language using Natural Language Toolkit
Ranka Stanković, Boro Milovanović (2020)Dok se razvijaju složeni algoritmi za NLP (obrada prirodnog jezika), osnovni zadaci kao što je označavanje ostaju veoma važni i još uvek izazovni. NLTK (Natural Language Toolkit) je moćna Python biblioteka za razvoj programa zasnovanih na NLP-u. Pokušavamo da iskoristimo ovu biblioteku za kreiranje PoS (vrsta reči) oznake za savremeni srpski jezik. Jedanaest različitih modela je kreirano korišćenjem NLTK API-ja za označavanje. Najbolji modeli se transformišu sa Brill tagerom da bi se poboljšala tačnost. Obučili smo modele na označenom ...... will be shown in Section 4 and briefly discussed in Section 5. We will conclude with Section 6. II. RESOURCES An automated tagger is created by training on an annotated dataset. These resources are extremely valuable because they are expensive to produce. Dataset used in this paper is composed ...
... Giouli, N. Calzolari, M. Monachini, C. Soria, and K. Choukri, “Language Resources Production Models: the Case of the INTERA Multilingual Corpus and Terminology,” Proc. Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy, May 2006 [11] D. l. Tufis, S. Koeva ...
... create a tagger for Serbian with a help of a Python library NLTK (Natural Language Toolkit). Besides just exposing more than 50 corpora and lexical resources, NLTK is used for making programs that handle human language data, ranging from tokenization to semantic reasoning. NLTK API makes it possible ...Ranka Stanković, Boro Milovanović. "Part of Speech Tagging for Serbian language using Natural Language Toolkit" in 7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020, Academic Mind, Belgrade (2020)
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From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)
In this paper we present the wikification of the ELTeC (European Literary Text Collection), developed within the COST Action ``Distant Reading for European Literary History'' (CA16204). ELTeC is a multilingual corpus of novels written in the time period 1840—1920, built to apply distant reading methods and tools to explore the European literary history. We present the pipeline that led to the production of the linked dataset, the novels’ metadata retrieval and named entity recognition, transformation, mapping and Wikidata population, ...Milica Ikonić Nešić, Ranka Stanković, Christof Schöch and Mihailo Škorić. "From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)" in Proceedings of The 8th Workshop on Linked Data in Linguistics within the 13th Language Resources and Evaluation Conference, June 2022, Marseille, France, European Language Resources Association (2022)
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Extraction of Bilingual Terminology Using Graphs, Dictionaries and GIZA++
Branislava Šandrih, Ranka Stanković (2020)U nauci, industriji i mnogim istraživačkim oblastima, terminologija se brzo razvija. Najčešće, jezik koji je „lingua franca“ za većinu ovih oblasti je engleski. Kao posledica toga, za mnoga polja termini domena su koncipirani na engleskom, a kasnije se prevode na druge jezike. U ovom radu predstavljamo pristup za automatsko izdvajanje dvojezične terminologije za englesko-srpski jezički par koji se oslanja na usaglašeni dvojezični korpus domena, ekstraktor terminologije za ciljni jezik i alat za usklađivanje delova. Ispitujemo performanse metode na domenu ...... 2018). 122 Infotheca Vol. 19, No. 2, December 2019 Scientific paper 3 Lexical Resources and Tools As previously mentioned in Section 1, the approach proposed in (Krstev et al., 2018) relies on several lexical resources and tools: i A sentence-aligned domain-specific corpus involving a source and a ...
... l Conference on Language Resources and Evaluation (LREC 2012), Calzolari, Nicoletta, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard et 134 Infotheca Vol. 19, No. 2, December 2019 Scientific paper al.. Istanbul, Turkey: European Language Resources Association (ELRA), 2012 ...
... the Eleventh International Conference on Lan- guage Resources and Evaluation (LREC 2018), chair), Nicoletta Calzo- lari (Conference, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi et al., 7–12. Paris, France: European Language Resources Association (ELRA), 2018. http://www.lrec-conf.or ...Branislava Šandrih, Ranka Stanković. "Extraction of Bilingual Terminology Using Graphs, Dictionaries and GIZA++" in Infotheca, Faculty of Philology, University of Belgrade (2020). https://doi.org/10.18485/infotheca.2019.19.2.6