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Упит dcterms_subject_txt:parallel corpus

88 items

  • 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

  • Resource-based WordNet Augmentation and Enrichment

    Ranka Stanković, Miljana Mladenović, Ivan Obradović, Marko Vitas, Cvetana Krstev (2018)
    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 ...
    WordNet, bilingual resources, term alignment, parallel lists
    ... (2014) used parallel corpora for five European languages to produce aligned wordnets. The English part of each corpus was semantically tagged, after which the process of wordnet creation was transformed into a word alignment problem, where wordnet synsets in the English part of the corpus were aligned ...
    ... with domain-specific single and multi- word expressions. They used a large monolingual Slovene corpus of texts to extract terminology from the domain of informatics, and a parallel English-Slovene corpus and an online dictionary as bilingual resources to facilitate the addition of new terms to sloWNet ...
    ... of concepts in SerWN. In addition to that, we plan to broaden the set of parallel resources, and search for new pairs of aligned literals for synsets, which will then be manually post-edited. We also plan to use parallel corpus based methodologies relying on two strategies proposed in ((Oliver et al ...

  • Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking

    Ranka Stanković, Milica Ikonić Nešić, Olja Perisic, Mihailo Škorić, Olivera Kitanović (2024)
    U radu se prikazuju rezultati istraživanja vezanih za pripremu paralelnih korpusa, fokusirajući se na transformaciju u RDF grafove koristeći NLP Interchange Format (NIF) za lingvističku anotaciju. Pružamo pregled paralelnog korpusa koji je korišćen u ovom studijskom slučaju, kao i proces označavanja delova govora, lematizacije i prepoznavanja imenovanih entiteta (NER). Zatim opisujemo povezivanje imenovanih entiteta (NEL), konverziju podataka u RDF, i uključivanje NIF anotacija. Proizvedene NIF datoteke su evaluirane kroz istraživanje triplestore-a korišćenjem SPARQL upita. Na kraju, razmatra se povezivanje Linked ...
    paralelni korpusi, povezivanje imenovanih entiteta, prepoznavanje imenovanih entiteta, NER, NEL, povezani podaci, NIF, Vikipodaci

  • Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC

    Christian Chiarcos, Ranka Stanković, Maxim Ionov, Gilles Sérasset (2024)
    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 podaci

  • The Many Faces of SrpKor

    Duško Vitas, Ranka Stanković, Cvetana Krstev (2024.)
    Акроним СрпКор означава фамилију електронских корпуса савременог српског језика чија је изградња почела крајем седамдесетих година прошлога века, а која је постала шире видљива заинтересованој истраживачкој заједници објављивањем његове прве верзије на вебу 2002. године. У овом дугом периоду, посебно пре појаве корисних текстуелних ресурса на вебу, развој корпуса се састојао у прикупљању и обради грађе као и у развоју метода обраде корпуса. Наиме, електронски корпус није само колекција текстова у дигиталном облику (како се то, на пример, наводи ...
    СрпКор, корпуси, српски, лематизација, Лексимирка

  • Multiword Expressions between the Corpus and the Lexicon: Universality, Idiosyncrasy and the Lexicon-Corpus Interface

    Verginica Barbu Mititelu, Voula Giouli, Kilian Evang, Daniel Zeman, Petya Osenova, Carole Tiberius, Simon Krek, Stella Markantonatou, Ivelina Stoyanova, Ranka Stankovic, Christian Chiarcos (2024)
    Predstavljamo trenutne aktivnosti na definisanju interfejsa leksikona i korpusa koji će služiti kao referenca u prikazu polileksemskih jedinica - višečlanih izraza - (različitih tipova - imenskih, glagolskih, itd.) u specijalizovanim leksikonima i povezivanju ovih unosa sa njihovim pojavljivanjima u korpusima. Konačni cilj je korišćenje ovakvih resursa za automatsko identifikovanje višečlanih izraza u tekstu. Uključivanje nekoliko prirodnih jezika ima za cilj univerzalnost rešenja koje nije usredsređeno na određeni jezik, kao i prilagođavanje idiosinkrazijama. Raspravljaju se izazovi u leksikografskom opisu višerečnih ...
    multiword expression lexicon, corpus, proof-of-concept lexicon encoding

  • A Mathematical Learning Environment Based on Serbian Language Resources

    Radojičić Marija, Obradović Ivan, Stanković Ranka, Utvić Miloć, Kaplar Sebastijan (2018)
    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 ...
    mathematical content, text processing, mathematical formulae
    ... is dedicated to corpus processing and alignment with existing lexical resources. (Figure 1). Figure 1. Structure of corpus processing The obtained results are processed text, augmented dictionaries and annotated content. In this component a special challenge to corpus processing results ...
    ... between tokens). Through CQP web users can both specify query patterns and get statistical information about corpus. Within preparation of the MLES corpus to each word within the corpus the following information is assigned, in the following order:  Word type (noun, verb, adjective, etc.) - ...
    ... annotation. The advantages of corpus annotation are the following:  Corpus search becomes more efficient due to the possibility of formulating more precise queries.  When search results are concerned, annotation.  Compensates for the information lost during corpus preparation (removed figures ...

  • 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
    ... with documents on finance, health, law and education; – SrpFranKor4, aligned French-Serbian corpus; – SrpNemKor5, aligned German-Serbian corpus; – RudKor6, a specialized monolingual corpus of texts from the mining domain, etc. The query expansion will be demonstrated using examples in two Ser- bian ...
    ... NoSketch Engine. This paper presents the process of upgrading the existing corpus search web interfaces of OCWB and NoSketch Engine in order to enable corpus query expansion. 3 Lexical resources In order to improve the current corpus search capabilities based on lin- guistic annotation, it is necessary ...
    ... “Vebran Web Service . . . ”, pp. 99–118 5 Conclusion The paper describes Vebran web services that enable corpus query ex- pansion and support corpus search that combines linguistic annotation of the corpus with external lexical resources. The presented approach allows search results to include the inflectional ...

  • Towards translation of educational resources using GIZA++

    Ivan Obradović, Dalibor Vorkapić, Ranka Stanković, Nikola Vulović, Miladin Kotorčević (2016)
    ... A “phrase table”1 is a statistical description of a parallel corpus of source-target language sentence pairs, created during the training process. The frequencies of n-grams in a source language text that co-occur with n-grams in a parallel target language text represent the probability that those ...
    ... those source-target paired n- grams will occur again in other texts similar to the parallel corpus. This can be perceived as a kind of dictionary between the source and target languages. Phrase tables and reordering tables are translation model components. Depending on parameters chosen for training ...
    ... for efficiently searching large parallel corpora with a powerful query language [18]. In [19] another approach for extraction of semantically related word pairs, ideally translational equivalents, is presented, from aligned texts in SELFEH, a Serbian- English corpus of texts related to education ...

  • 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

  • Towards the semantic annotation of SR-ELEXIS corpus: Insights into Multiword Expressions and Named Entities

    Cvetana Krstev, Ranka Stanković, Aleksandra Marković, Teodora Mihajlov (2024)
    Овај рад представља активности на развоју корпуса ELEXIS-sr, српском додатку вишејезичном анотираном корпусу ELEXIS-а, који се састоји од семантичких анотација и репозиторија значења речи. ELEXIS је паралелни вишејезични анотирани корпус на десет европских језика, који може да се користи као вишејезички репер за евалуацију европских језика са мање и средње развијеним ресурсима. Фокус овог рада је на вишечланим изразима и именованим ентитетима, њиховом препознавању у скупу реченица ELEXIS-sr и поређењу са анотацијама на другим језицима. Разматрају се први кораци ...
    полилексемске језинице, именовани ентитет, вишезначност значења речи, складиште смисла, LLOD

  • Managing mining project documentation using human language technology

    Aleksandra Tomašević, Ranka Stanković, Miloš Utvić, Ivan Obradović, Božo Kolonja (2018)
    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 documentation

  • 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
    ... 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 ...
    ... n of tweets length. Figure 5 Tree clouds of abusive language corpus: the non-abusive subset (left) and abusive subset (right). 3 A Corpus and Lexicon for Abusive Speech 3.1 Analysis of the twitter corpus The distribution of our corpus tweets length after removal of mentions is shown in Figure 4: ...
    ... from the abusive tweet corpus) and for neutral language (derived from the corpus of non-abusive tweets), which enables calculation of the so-called keyness score, which should represent the extent of the frequency difference. These frequencies can also be compared with the corpus of standard Serbian (as ...

  • 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

  • Towards Automatic Definition Extraction for Serbian

    Ranka Stanković, Cvetana Krstev, Rada Stijović, Mirjana Gočanin, Mihailo Škorić (2021)
    U radu su prikazani preliminarni rezultati automatske ekstrakcije kandidata za definicije rečnika iz nestrukturiranih tekstova na srpskom jeziku u cilju ubrzanja razvoja rečnika. Definicije u rečniku Srpske akademije nauka i umetnosti (SANU) korišćene su za modelovanje različitih tipova definicija (opisnih, gramatičkih, referentnih i sinonimskih) koje imaju različite sintaksičke i leksičke karakteristike. Korpus istraživanja sastoji se od 61.213 definicija imenica, koje su analizirane korišćenjem morfoloških e-rečnika i lokalnih gramatika implementiranih kao pretvarači konačnih stanja u paketu za obradu korpusa otvorenog ...
    ... enabling the connection are given in italic. 4 Corpus Analysis 4.1 Creating a Textbook Corpus For testing the automatic extraction of definitions from unstructured text by means of local grammars presented in the previous section, we created a corpus of 25 primary and secondary school textbook covering ...
    ... 3 4.2 Recognition of Candidates in the Textbook Corpus To determine whether it is possible to recognize definitions of domain-specific terms in the domain corpus text, a subset of local grammars presented in Section 3 was applied to the corpus consisting of 25 textbooks; namely we excluded models ...
    ... different syntactic and lexical features. The research corpus consists of 61,213 definitions of nouns, which were analysed using Serbian morphological e-dictionaries and local grammars implemented as finite state transducers in an open-source corpus processing suite Unitex. The 21 models developed up ...

  • New Language Models for South Slavic Languages

    Mihailo Škorić (2024)
    Izlaganje će predstaviti izazove i perspektive modelovanja južnoslovenskih jezika, sa posebnim osvrtom opšte jezičke modele građene na arhitekturi transformera (BERT, GPT), na dostupne skupove tekstova za obučavanje tih modela, te kvantitet i kvalitet tih skupova. Izlaganje će ponuditi pregled dostupnih skupova i modela, dok će posebna pažnja biti posvećena najnovijim korpusima tekstova. Prvi korpus, Kišobran, predstavlja krovni veb korpus južnoslovenskih jezika i ujedno trenutno najveći korpus tekstova na našim prostorima koji broji preko osamnaest milijardi reči i uključuje sve ...
    veliki korpusi teksta, jezički modeli, južnoslovenski jezici

  • Two approaches to compilation of bilingual multi-word terminology lists from lexical resources

    Branislava Šandrih, Cvetana Krstev, Ranka Stanković (2020)
    In this paper, we present two approaches and the implemented system for bilingual terminology extraction that rely on an aligned bilingual domain corpus, a terminology extractor for a target language, and a tool for chunk alignment. The two approaches differ in the way terminology for the source language is obtained: the first relies on an existing domain terminology lexicon, while the second one uses a term extraction tool. For both approaches, four experiments were performed with two parameters being ...
    Linguistics and Language,Software,Artificial Intelligence,Language and Linguistics

  • Rule-based Automatic Multi-word Term Extraction and Lemmatization

    Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, Aleksandra Trtovac (2016)
    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 ...
    term extraction, terminology, multi-word units, lemmatization, finite-state transducers
    ... within the domain corpus, whereas the remaining two measures compare term frequency in the domain corpus and the general language corpus, thus illustrating how specific the MWU is for the selected domain. As the general corpus we used a 22 million words excerpt from the Corpus of Contemporary ...
    ... For evaluation we used a corpus that contains 10textbooks, 2 projects and 51 journal articles from the mining domain. The size of this corpus is 32,633 sentences and 625,105 simple word forms. For calculation of measures that compare results on a domain corpus with general language we used ...
    ... Language Using Rules Automatically Generated Based on the Corpus Analysis. In Proc. of 7th Language & Technology Conference 2015, Poznań: Fundacja Uniwersytetuim. A. Mickiewicza, pp. 540--544. Pantel, P., Dekang L. (2001). A statistical corpus-based term extractor. In Stroulia, E., Matwin, S. (Eds ...

  • 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
    ... with collecting and preparing research papers, project documentation, and textbooks in Serbian for the monolingual corpus and aligning English-Serbian texts for the bilingual parallel corpus. Also, paper dictionaries, both monolingual and bilingual are digitized, parsed and stored in an auxiliary database ...
    ... available terminology extractors, and then, given a source term and a parallel sentence pair in which it appears, a set of possible translations are obtained. There are different options: to use automatic translation, trained on the same corpus using GIZA++ [40,43], to apply a word aligner [72], or to use ...
    ... a lexeme are grouped together under a base dictionary form. The Serbian corpus and the Serbian part of the bilingual corpus are tagged and lemmatized using a customised tagger [35], while the English part of the bilingual corpus is tagged by Treetagger [36,37]. Texts included in corpora are also processed ...

  • 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
    ... (Natural Language Toolkit) suite, which provides a good natural language pro- cessing resource. The last chapter shows a corpus search of the noun risk in a mining- themed corpus. We also present its most common collocates, word sketch, individual pattern concordances, thesaurus entry of its synonyms ...
    ... analysis of the meaning of an LU, its lexical surroundings, phrases and grammatical constructions in which it appears in the corpus, the context in which it is used provided by corpus examples, as well as all the phrases in which the LU fulfills its full semantic potential. This approach consists of listing ...
    ... 2016, 21) and its use is looked into by extracting sentences, which contain it, from the corpus. A lexicographer working in FrameNet compares his or her insight into the meaning of a target lexeme, based on corpus examples, to the meaning given in descriptive dictionaries.8 Once he gets a clearer idea ...