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Упит dcterms_subject_txt:Serbian language

180 items

  • Српски језик у дигиталном добу -- The Serbian Language in the Digital Age

    Duško Vitas, Ljubomir Popović, Cvetana Krstev, Ivan Obradović, Gordana Pavlović-Lažetić, Mladen Stanojević (2012)
    Serbian language
    ... role of Serbian in European information soci- ety and assess the current state of language technology for the Serbian language. 47 3 THE SERBIAN LANGUAGE IN THE EUROPEAN INFORMATION SOCIETY 3.1 GENERAL FACTS Standard Serbian is the standard national language of Serbs and the official language in the ...
    ... 4 LANGUAGE TECHNOLOGY SUPPORT FOR SERBIAN Language technology is used to develop soware sys- tems designed to handle human language and are there- fore oen called “human language technology”. Human language comes in spoken and written forms. While speech is the oldest and in terms of human evolution ...
    ... complexity of Serbian and the number of technologies involved in typical language technology applications. In the next chapter, we will present an overview of language technology and its core application areas as well as an evaluation of the current situation of language technology support for Serbian. 57 ...

  • WS4LR - a Worksation for Lexical Resources

    Cvetana Krstev, Ranka Stanković, Duško Vitas, Ivan Obradović (2006)
    Lexical Resources, Wordnet, Serbian
    ... taTable + target_TextRow + target_TextRowChangeEvent 1695 5. Conclusions Although WS4LR has been used mainly for Serbian language resources, it is by no means language dependent. The only prerequisite is that the resources exist or are being developed according to the described formats and ...
    ... aligned texts and transducers equally and has already proved very useful for various tasks. Although it has so far been used mainly for Serbian, WS4LR is not language dependent and can be successfully used for resources in other languages provided that they follow the described formats and methodologies ...
    ... English, Greek, Portuguese, Russian, Thai, Korean, Italian, Spanish, Norwegian, Arabic, German, Polish, Bulgarian, and Serbian. The Intex2 , Unitex3 and Nooj4 systems for natural language processing based on linguistic resources provide for text processing using this type of dictionaries, but offer no ...

  • An Italian-Serbian Sentence Aligned Parallel Literary Corpus

    Saša Moderc, Ranka Stanković, Aleksandra Tomašević, Mihailo Škorić (2023)
    This article presents the construction and relevance of an Italian-Serbian sentence-aligned parallel corpus, delving into the aligned sentences in order to facilitate effective translation between the two languages. The parallel corpus serves as a valuable resource for language experts, researchers, and language enthusiasts, fostering a deeper understanding of linguistic nuances and cultural expressions. By bridging the gap between Serbian and Italian, this corpus opens new avenues for cross-cultural communication and collaboration, and ultimately contributes to the improvement of language-related ...
    Aligned corpus, parallel corpus, Serbian, Italian, literature

  • Vebran Web Services for Corpus Query Expansion

    Ranka Stanković, Miloš Utvić (2020)
    U ovom radu se govori o razvoju veb usluga Vebran i njihovoj primeni u poboljšanju pretraživanja korpusa. Veb-servisi Vebran koriste se za konsultovanje spoljnih leksičkih izvora za srpski jezik (uglavnom elektronski morfološki rečnici i srpski Vordnet) i proširivanje korisničkih upita radi dobijanja relevantnijih rezultata iz srpskih korpusa.
    corpus search, web service, Serbian lexical resources, query expansion
    ... Human Language Technology (HLT) Group at the University of Belgrade and the Language Resources and Technologies Society (JeRTeh): – monolingual general corpora: Corpus of Contemporary Serbian (versions SrpKor2003 and SrpKor2013)1 and its subset SrpLemKor2; – SrpEngKor3, aligned English-Serbian corpus ...
    ... s”) in Serbian using Serbian Latin alphabet Parameter Value examples Description lema sreća Requested lemma X alphOut C Alphabet of the output result C-Cyrillic, L-Latin, A-Aurora, combinations like CL, CA, LA, CLA are allowed lngIn sr language of a given lemma X, by default sr (Serbian) lngOut ...
    ... Stanković R. and Utvić M., “Vebran Web Service . . . ”, pp. 99–118 Sections 2 and 3 describe language resources for Serbian, corpora that we can search and lexical resources that Natural Language Processing (NLP) applications can consult. Vebran web services and their usage of lexical re- sources ...

  • The Dictionary of the Serbian Academy: from the Text to the Lexical Database

    Ranka Stanković, Rada Stijović, Duško Vitas, Cvetana Krstev, Olga Sabo (2018)
    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 ...
    computer lexicography, lexical database, language resources, dictionary, Serbian language
    ... database, language resources, dictionary, Serbian language 1 Introduction The first volume of the Dictionary of the Serbo-Croatian Standard and Vernacular Language (re- ferred to as the Dictionary of Serbian Academy or DSA), prepared and compiled by the Institute for the Serbian Language of the Serbian ...
    ... 941Lexicography in gLobaL contexts The Dictionary of the Serbian Academy: from the Text to the Lexical Database Ranka Stanković1, Rada Stijović2, Duško Vitas1, Cvetana Krstev1, Olga Sabo2 1University of Belgrade, 2Institute for Serbian Language, Serbian Academy of Sciences and Arts E-mail: ranka.stankovic@rgf ...
    ... Međunarodni slavistički centar, Beograd, pp. 105-116. [Blueprint for the computerized dictionary of the Serbian language (in Cyrillic)] Acknowledgements This research was partially supported by Serbian Ministry of Education and Science under the grants #III 47003, #178003 and #178009. Powered by TCPDF ...

  • Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian

    Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić (2020)
    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 ...
    Part-of-Speech tagging, lemmatization, corpus, evaluation, Serbian, morphological dictionary
    ... be taken into consideration and tested in order to find the best solu- tion for Serbian, a highly-inflected language without fixed word order, for instance RNNTagger.9 Since CRF tagger for Serbian and Croatian language obtained the accuracy over 98%, as reported in (Ljubešić et al., 2016), we plan ...
    ... 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 Lemmatization and Morphosyntactic Tagging for Serbian Ranka Stanković ...
    ... on our manually annotated datasets, in order to get a more complete picture of possible solutions for the Serbian language. Once prepared, the models for tagging will be used to tag the Serbian part of ELTeC (European Literary Text Collec- tion) corpus.10 It should be noted that within this action ...

  • 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
    ... Length of Syllables in Serbian 117 3. Language material Serbian is a South Slavic language. It has the official status in Serbia (exclusively) and in Bosnia and Herzegovina (as one of three languages, together with Bosnian and Croatian), and the status of a minority language in several other countries ...
    ... 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 ...
    ... countries. Given the scope of our research, we briefly mention the Serbian phonology and orthography; more information on the language can be found e.g. in Browne (1993). The Serbian phonological system consists of 30 phonemes - 5 vowels and 25 consonants, out of which 8 are sonorants (Stanojčić ...

  • A Twitter Corpus and Lexicon for Abusive Speech Detection in Serbian

    Danka Jokić, Ranka Stanković, Cvetana Krstev, Branislava Šandrih (2021)
    Uvredljivi govor na društvenim medijima, uključujući psovke, pogrdni govor i govor mržnje, dostigao je nivo pandemije. Sistem koji bi bio u stanju da detektuje takve tekstove mogao bi da pomogne da internet i društveni mediji postanu bolji virtuelni prostor sa više poštovanja. Istraživanja i komercijalna primena u ovoj oblasti do sada su bili fokusirani uglavnom na engleski jezik. Ovaj rad predstavlja rad na izgradnji AbCoSER-a, prvog korpusa uvredljivog govora na srpskom jeziku. Korpus se sastoji od 6.436 ručno označenih ...
    uvredljivi jezik, govor mržnje, srpski, tviter, leksikon, korpus
    ... Although each tweet has a language column, in the majority of cases language of Serbian tweets was marked as und – unidentified – since Twitter cannot reliably recognize the Serbian language. For example, out of 150,000 tweets, only 8,000 were marked as tweets in Serbian, while 120,000 were marked as ...
    ... should we take when building the corpus of abusive language, several future implications were considered: 1) To the best of our knowledge, AbCoSER (Abusive Corpus for serbian) is the first corpus tackling abusive language phenomenon in the Serbian language; 2) This corpus is to be used to enrich our lexicon ...
    ... languages such as Serbian. The main contribution of this work is the creation of the AbCoSER, the first abusive speech corpus in Serbian, that will, together with abusive speech lexicon, enable the development of automatic abusive speech detection systems for the Serbian language. In the course of this ...

  • SrpELTeC: A Serbian Literary Corpus for Distant Reading

    Ranka Stanković, Cvetana Krstev, Duško Vitas (2024)
    U članku je predstavljen SrpELTeC, korpus razvijen u okviru akcije COST Distant Reading for European Literary History (CA16204). Svi romani u SrpELTeC-u su odabrani, pripremljeni i obeleženi korišćenjem zajedničkih principa uspostavljenih za sve jezičke zbirke u Evropskoj zbirci književnog teksta (ELTeC). Navedeni su izazovi i rešenja u pripremi SrpELTeC od nule. Svi romani su ručno kodirani u TEI sa bogatim metapodacima i strukturnim napomenama. Automatska anotacija je uključivala POS-označavanje, lematizaciju i imenovane entitete, oslanjajući se na resurse za obradu ...
    digital humanities, Serbian literature, text corpora, distant reading , linked data, named entity recognition, text analytics

  • 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

  • Речници у дигиталном добу - информатичка подршка за српски језик

    Биљана Рујевић (2022)
    Морфолошки речници српског језика представљају електронски језички ресурс који има значајну историју развоја и коришћења за потребе обраде природних језика. С обзиром на то да су чувани у облику датотека чији је број нарастао па је самим тим управљање речницима постало отежано јавила се потреба за смештањем информација из речника у облик лексикографске базе. Како би се омогућио симултани рад на развоју речника за више корисника јавила се потреба за веб-апликацијом заснованој на лексикографској бази. Како би се размотриле ...
    електронски речници, лексикографска база података, лексички ресурси, српски језик

  • Production of morphological dictionaries of multi-word units using a multipurpose tool

    Ranka Stanković, Ivan Obradović, Cvetana Krstev, Duško Vitas (2011)
    The development of a comprehensive morphological dictionary of multi-word units for Serbian is a very demanding task, due to the complexity of Serbian morphology. Manual production of such a dictionary proved to be extremely time-consuming. In this paper we present a procedure that automatically produces dictionary lemmas for a given list of multi-word units. To accomplish this task the procedure relies on data in e-dictionaries of Serbian simple words, which are already well developed. We also offer an evaluation ...
    electronic dictionary, Serbian, morphology, inflection, multi-word units, noun phrases, query expansion
    ... scratch. Serbian is, however, like all Slavic languages a highly inflectional language and such a shortcut procedure cannot be applied. We will illustrate this with one example. The nominal MWU petokraka zvezda ‘five-pointed star’ consists of an adjective followed by a noun, which in Serbian is the ...
    ... e- dictionaries of Serbian simple words. We present an evaluation of the performance of this functionality, and hence of our procedure, obtained from experiments on two types of data. Finally, we discuss some further possible applications of our procedure and LeXimir in language processing tasks. I ...
    ... I. INTRODUCTION MORPHOLOGICAL electronic dictionaries of Serbian for natural language processing (NLP) are being de- veloped for many years now. Their development follows the methodology and format (known as DELAS/DELAF) pre- sented for French in [1]. E-dictionaries in the same format have been ...

  • Automatic construction of a morphological dictionary of multi-word units

    Cvetana Krstev, Ranka Stanković, Ivan Obradović, Duško Vitas, Miloš Utvić (2010)
    The development of a comprehensive morphological dictionary of multi-word units for Serbian is a very demanding task, due to the complexity of Serbian morphology. Manual production of such a dictionary proved to be extremely time-consuming. In this paper we present a procedure that automatically produces dictionary lemmas for a given list of multi-word units. To accomplish this task the procedure relies on data in e-dictionaries of Serbian simple words, which are already well developed. We also offer an evaluation ...
    electronic dictionary, Serbian, morphology, inflection, multiwordn units, noun phrases, query expansion
    ... for other languages. Key words: electronic dictionary, Serbian, morphology, inflection, multi- word units, noun phrases, query expansion 1 Introduction We have been developing morphological electronic dictionaries of Serbian for natural language processing for many years now. Our e-dictionaries follow ...
    ... Krstev, C.: Processing of Serbian - Automata, Texts and Electronic Dictionaries. Faculty of Philology, University of Belgrade, Belgrade (2008) 3. Savary, A.: Computational Inflection of Multi-Word Units - A Contrastive Study of Lexical Approaches. Linguistic Issues in Language Technologies 1 (2008) 4 ...
    ... In: 6th LREC, Marrakech, Marocco (2008) 7. Jacquemin, C.: Spotting and Discovering Terms through Natural Language Pro- cessing. MIT Press (2001) 8. Laporte, E.: Lexicons and Grammars for Language Processing: Industrial or Hand- crafted Products? In Rezende, L.M., da Silva, B.C.D., Barbosa, J.B., eds ...

  • 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
    ... rs Proceedings of Recent Advances in Natural Language Processing, pages 1060–1068, Varna, Bulgaria, Sep 2–4, 2019. https://doi.org/10.26615/978-954-452-056-4_122 1060 Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names Branislava Šandrih ...
    ... implementation of a Named Entity Recog- nizer by the Stanford Natural Language Process- ing group. It is also known as CRFClassifier, since 6Training NER in spaCy, https://spacy.io/usage/training#ner 7Visualization of SPACY NER for Serbian, http://ner.jerteh.rs/ 1063 PERS_1 PERS_3 PERS_4 PERS_9 m.persName ...
    ... 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/. Sameer Singh, Dustin Hillard, and Chris Leggetter. 2010. ...

  • FrameNet Lexical Database: Presenting a Few Frames Within the Risk Domain

    Aleksandra Marković, Ranka Stanković, Natalija Tomić, Olivera Kitanović (2021)
    U radu se daje kratak prikaz teorije semantike okvira, na kojoj je zasnovana leksička baza Frejmnet. Predstavljena je koncepcija ove mreže, kao i mogućnosti njene primene. Predstavljena je i leksička analiza koja se primenjuje u projektu izrade Frejmneta i ukazano na razlike između analize zasnovane na okviru u odnosu na analizu zasnovanu na reči. Zatim je prikazano nekoliko povezanih okvira koje prizivaju reči iz domena rizika. U radu je predstavljena i platforma NLTК pomoću koje se mogu koristiti ...
    Srpski jezik, semantika okvira, FrameNet, scenario rizika, rudarski korpus, obrada prirodnog jezika
    ... included. KEYWORDS: Serbian language, frame semantics, FrameNet, risk scenario, mining corpus, natural language processing. PAPER SUBMITTED: 15 July 2021 PAPER ACCEPTED: 6 September 2021 Aleksandra Marković aleksan- dra.markovic@isj.sanu.ac.rs Institute for Serbian Language, SASA Belgrade, Serbia ...
    ... frames and their elements, based on the data from English language corpora, and translated them into Serbian in order to illustrate the way of presenting data in FrameNet. It is our hope that we will soon get a chance to illustrate frames using Serbian corpus data. 16 Infotheca Vol. 21, No. 1, September ...
    ... pp. 7–33 by members of the JeRTeh Society for Language Resources and Technolo- gies.22 A Treegger model for Serbian was trained for tagging (Krstev and Vitas 2005; Utvic 2011), (Stanković et al. 2020, 3957) using a manually an- notated corpus of Serbian morphological dictionaries (Krstev 2008). Figure ...

  • SASA Dictionary as the Gold Standard for Good Dictionary Examples for Serbian

    Ranka Stanković, Branislava Šandrih, Rada Stijović, Cvetana Krstev, Duško Vitas, Aleksandra Marković (2019)
    У овом раду представљамо модел за избор добрих примера за речник српског језика и развој иницијалних компоненти модела. Метода која се користи заснива се на детаљној анализи различитих лексичких и синтактичких карактеристика у корпусу састављених од примера из пет дигитализованих свезака речника САНУ. Почетни скуп функција био је инспирисан сличним приступом и за друге језике. Дистрибуција карактеристика примера из овог корпуса упоређује се са карактеристиком дистрибуције узорака реченица ексцерпираних из корпуса који садрже различите текстове. Анализа је показала да ...
    Српски, добри примери из речника, аутоматизација израде речника, издвајање својстава, Машинско учење
    ... of the Serbian language. The approach was motivated by the need for modernization of the dictionary-making process for the dictionary of the Serbian Academy of Sciences and Arts (SASA), a large monolingual thesaurus of Serbian, as well as for the production of new dictionaries of Serbian. The SASA ...
    ... by type of lexis/language (labelled with DSS for standard Serbian and DNS for non- standard Serbian) and 3) by part of speech (POS) of the headword/keyword (N – nouns, V – verbs, A – adjectives, ADV – adverbs and X – other). DSS partition contains sentences in contemporary language with examples that ...
    ... Blueprint for the computerized dictionary of the Serbian language [Nacrt za informatizovani rečnik srpskog jezika]. Naučni sastanak slavista u Vukove dane, 44(3), pp. 105–116. (In Serbian, Cyrillic.) Vitas, D. & Krstev, C. (2012). Processing of Corpora of Serbian Using Electronic Dictionaries. Prace F ...

  • Аутоматска екстракција дефиниција – допринос убрзању израде речника

    Рада Стијовић, Цветана Крстев, Ранка Станковић (2021)
    дескриптивни речници, метаанализа лексикографских дефиниција, аутоматска екстракција дефиниција, електронски речници, српски језик

  • Нове технологије за оживљавање старих текстова

    Цветана Крстев, Ранка Станковић, Бранислава Шандрих Тодоровић, Милица Иконић Нешић (2023)
    удаљено читање, књижевни корпус, обрада српског језика, анотација врстом речи, лематизација, именовани ентитети

  • Transformer-Based Composite Language Models for Text Evaluation and Classification

    Mihailo Škorić, Miloš Utvić, Ranka Stanković (2023)
    Parallel natural language processing systems were previously successfully tested on the tasks of part-of-speech tagging and authorship attribution through mini-language modeling, for which they achieved significantly better results than independent methods in the cases of seven European languages. The aim of this paper is to present the advantages of using composite language models in the processing and evaluation of texts written in arbitrary highly inflective and morphology-rich natural language, particularly Serbian. A perplexity-based dataset, the main asset for the ...
    General Mathematics, Engineering (miscellaneous), Computer Science (miscellaneous)

  • 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 ...
    obrada prirodnog jezika, mašinsko učenje, neuronske mreže
    ... 04:19:53 Part of Speech Tagging for Serbian language using Natural Language Toolkit Ranka Stanković, Boro Milovanović Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Part of Speech Tagging for Serbian language using Natural Language Toolkit | Ranka Stanković, Boro ...
    ... ways. In this paper, we will 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 ...
    ... different algorithms makes this library a good choice for a research. Serbian language belongs to a group of low-resource languages so there’s a modest research on this topic. First attempts to create an automatic PoS tagger for Serbian relied on a dictionary. Delić et al. used custom transformations ...