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Упит dcterms_subject_txt:old novels

20 items

  • Sentiment Analysis of Serbian Old Novels

    Ranka Stanković, Miloš Košprdić, Milica Ikonić Nešić, Tijana Radović (2022)
    In this paper we present first study of Sentiment Analysis (SA) of Serbian novels from the 1840-1920 period. The preparation of sentiment lexicon was based on three existing lexicons: NRC, AFFIN and Bing with additional extensive corrections. The first phase of dataset refinement included filtering the word that are not found in Serbian morphological dictionary and in second automatic POS tagging and lemma were manually corrected. The polarity lexicon was extracted and transformed into ontolex-lemon and published as initial ...
    sentiment lexicon, sentiment analysis, distant-reading, machine learning, old novels

  • 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

  • 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 ...
    ... for developing a Serbian NER model on a collection old literary texts. 3 Serbian Collection in the ELTeC As described earlier in Section 1, the focus of the COST Action CA16204 is to compile the ELTeC corpus containing collections of old European novels published between 1840 and 1920 in various languages ...
    ... them at all (14 times). We also noticed that some false positives were due to specific characteristics of texts. Na- mely, the orthography in the old novels was not stable, leading to incorrect occurrences (accor- ding to contemporary usage); for instance, the word gospode ‘god’ was considered, according ...
    ... test set displayed in Table 3. Since this collec- tion of novels contains very diverse texts, both lexically and syntactically, SrpCNNER did not generalize that well on unseen texts. 6 Conclusions and Future Work We presented the corpus of old Serbian no- vels, which served as a basis for training a ...

  • 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

  • Serbian ELTeC Sub-Collection in Wikidata

    Milica Ikonić Nešić, Ranka Stanković, Biljana Rujević (2021)
    This paper presents an example of integration of Wikidata with digital libraries and external systems, as well as some best practices for speeding up the process of data preparation and import to Wikidata, on the use case of SrpELTeC, Serbian subcollection of the ELTeC multilingual collection (European Literary Text Collection). After preliminary work on the manual Wikidata population with SrpELTeC novels, the goal was to automate the process of preparing and importing information, so different solutions were analysed and ...
    Википодаци, удаљенои читање, књижевни корпус, повезивање именованих ентитета, ELTeC, SrpELTeC

  • From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)

    Milica Ikonić Nešić, Ranka Stanković, Christof Schöch and Mihailo Škorić (2022)
    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, ...
    Wikidata, linked data, SPARQL, distant reading, literary corpus, named entity linking, ELTeC

  • Towards ELTeC-LLOD: European Literary Text Collection Linguistic Linked Open Data

    Ranka Stanković, Christian Chiarcos, Miloš Utvić, Olivera Kitanović (2023)
    Овај рад описује студију случаја о генерисању повезаних података креираних на основу обечежених текстуалних корпуса коришћењем формата размене података у обради природних језика (NIF). Као основа за ово истраживање послужио је подскуп корпуса ELTeC, који се састоји од 900 романа из периода 1840-1920 за 9 европских језика. Верзија романа са коментарима, у такозваном TEI level-2 формату, трансформисана је у NIF, формат заснован на RDF/OWL који има за циљ постизање интероперабилности између алата за обраду природних језика, језичких ресурса и ...
    повезани отворени подаци, корпус, SrpELTeC, NIF

  • 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

  • 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
    ... basic idea was to speed up the entry of data about the results of the research in the domain of digital humanities in Serbia, as well as about old Serbian novels, so as to increase the visibility of both the Serbian language, our cultural heritage and the results of the research in Serbia and certainly ...
    ... Wikidata were drawn upon when entering in Wikidata the data on the novels and their authors belonging to the ELTeC multilingual collection (European Literary Text Collection) one subcollection of which will consist of a hundred Serbian novels from the period 1840-1920 developed as part of the Distant Reading ...
    ... 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 ...

  • Bilingual lexical extraction based on word alignment for improving corpus search

    Jelena Andonovski, Branislava Šandrih, Olivera Kitanović (2019)
    Library and Information Sciences,Computer Science Applications

  • 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

  • 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

  • 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
    ... 2001–2010, was retrieved from SrpKor. A part of the Serbian ELTeC was used, which contains 10 novels and excerpts from 15 novels that were all published 100 or more years ago (labelled ON for old novels). The system for Serbian text processing, based on comprehensive e-dictionaries and local grammar ...
    ... are longer than in any volume of the dictionary, that the dispersion for contemporary novels (CN) is the highest, that the average length of sentences in journals and daily papers is similar, and that old novels (ON) have shorter sentences than contemporary ones (CN). 261 Proceedings of eLex 2019 ...
    ... different types, which reflect text variability. For the first collection with contemporary novels (labelled CN), the sentences were extracted from seven novels written by contemporary Serbian writers and from sevens novels written in German and translated to Serbian. In order to represent domain knowledge ...

  • 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 ...
    Corpus, Distant Reading, Digital Humanities, Linked Data, Named Entity Recognition, Text Analytics

  • Annotation of the Serbian ELTeC Collection

    Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Mihailo Škorić (2021)
    Ovaj rad predstavlja takozvano izdanje nivoa 2 kolekcije tekstova SrpELTeC razvijene u okviru aktivnosti Radne grupe 2 – Metode i alati COST akcije CA 16204 (Distant Reading for European Literary History) i njene specifikacije šeme. Izdanje nivoa 2 je nastavak izdanja nivoa 1, koje se koristi kao ulaz za morfosintaksičke i NER anotacije romana. Srpska obrada nivoa-2 je navedena kroz potrebne korake, uključujući metode i alate koji se koriste u tom procesu. Neki statistički podaci iz srpske kolekcije nivoa ...
    udaljeno čitanje, literarni korpus, tagiranje, prepoznavanje imenovanih entiteta, lematizacija, ELTeC

  • 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
    ... precision of the old and new TreeTagger models is shown in Figure 3. It can be observed that there is little difference in results for the test sets, both familiar and unfamiliar, with a descent precision for both, where the new tagger performed slightly better, especially for the Novels test set. This ...
    ... Good Soldier Schweik), newspaper articles (reporting on floods in Serbia in 2014) and a history textbook. Novels was composed of excerpts from the Serbian part of ELTeC corpus containing novels published between 1840 and 1920.3 Text Tokens T-Types Words W-Types 1984 108,133 18,117 69,706 18,050 VERNE ...
    ... 706 12,266 INTERA 1,071,200 56,743 907,643 55,470 ŠVEJK 4,122 1,484 3,347 1,475 FLOODS 4,671 1,798 3,813 1,741 HISTORY 6,596 2,726 5,287 2,622 NOVELS 5,118 2,117 4,236 2,093 Table 2: Pre-annotated texts used for training and testing of the spaCy tagger and the TreeTagger TT19 3. Tagging 3.1. ...

  • Old or New, We Repair, Adjust and Alter (Texts)

    Cvetana Krstev, Ranka Stanković (2020)
    U ovom radu predstavljamo kako se e-rečnici i kaskade transduktora konačnih stanja implementirani u alatu Unitex mogu koristiti za rešavanje tri problema transformacije teksta: ispravljanje tekstova nakon OCR-a, vraćanje dijakritičkih znakova i prebacivanje između različitih jezičkih varijanti.
    ispravka teksta, OCR greške, restauracija dijakritika , jezičke varijante, elektronski rečnik, transduktori konačnih stanja
    ... , Stanković R., “Old or new, we repair . . . ”, pp. 61–80 punctuation marks and digits. OCR errors can also produce valid words or non-valid words. We will present the solution for detecting and correcting OCR errors developed for the compilation of the corpus of Serbian novels written and published ...
    ... correction is difficult to evaluate since each text (especially in the case of relatively old books) poses different problems and different lists of solutions may be offered. However, results after correcting some thirty novels show that after applying the system for OCR error correction the number of errors ...
    ... published in the period 1840–1920.2 The novels selected for this corpus were mainly printed in Cyrillic script (only a few of them were in Latin script). When scanning, the recognition was reduced to only one script, Cyrillic or Latin, in order to avoid confusion between theese two scripts, e.g. Latin B with ...

  • 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
    ... is a novel by Jules Verne annotated during SEE-ERA.net project [11]. ELTeC (European Literary Text Collection) is a multilingual collection of the novels written between 1840 and 1920 [12]. ELTeC-srp is the Serbian part of the ELTeC. History, Floods and Švejk are three short collections originated ...
    ... standard for a Serbian language. Best performance in this research is achieved with the Perceptron tagger, a neural network which is more than a decade old. Since then, a breakthrough with deep learning has happened, so there’s a strong belief that further improvements can be made with the latest neural ...

  • E-Connecting Balkan Languages

    Cvetana Krstev, Ranka Stanković, Duško Vitas, Svetla Koeva (2009)
    In this paper we present a versatile language processing tool that can be successfully used for many Balkan languages. This tool relies for its work on several sophisticated textual and lexical resources that were developed for most of Balkan languages. These resources are based on several de facto standards in natural language processing.
    Query expansion, e-dictionary, wordnet, proper name, aligned text
    ... N. Ide. The MULTEXT-East Corpus. In LREC’98, Granada, pp. 971-974, 1998. [5] A. Gelbukh, G. Sidorov, J.-A. Vera-Félix. A Bilingual Corpus of Novels Aligned at Paragraph Level. In proc. FinTAL-2006. Lecture Notes in Artificial Intelligence, no. 4139, Springer-Verlag, pp. 16–23, 2006. [6] ISO ...

  • 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
    ... terms in Serbian and English. Termi has been recently supplemented by the general Serbian-German bilingual dictionary extracted from 14 contemporary novels (Andonovski et al., 2019). All verified terms are available in public view, while additional terms are internally available to authorized users, according ...