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Упит dcterms_subject_txt:lemmatization

4 items

  • 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
    ... Multi-word Term Extraction and Lemmatization Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, Aleksandra Trtovac Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Rule-based Automatic Multi-word Term Extraction and Lemmatization | Ranka Stanković, Cvetana ...
    ... the employees' publications. - The Repository is available at: www.dr.rgf.bg.ac.rs Rule-based Automatic Multi-Word Term Extraction and Lemmatization Ranka Stanković1, Cvetana Krstev2, Ivan Obradović1, Biljana Lazić1, Aleksandra Trtovac3 1University of Belgrade, Faculty of Mining and Geology ...
    ... 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 ...

  • 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
    ... Network-Based Lemmatization and Morphosyntactic Tagging for Serbian Ranka Stanković, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Machine Learning and Deep Neural Network-Based Lemmatization and M ...
    ... 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, Branislava Šandrih, Cvetana Krstev, Miloš Utvić, Mihailo Škorić {Faculty of Mining ...
    ... PoS-tagging precision per token for both new models. The SR BASIC annotated dataset will also be published. Keywords: Part-of-Speech tagging, lemmatization, corpus, evaluation, Serbian, morphological dictionary 1. Introduction The task of assigning to each token its Part-of-Speech cat- egory (noun ...

  • 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

  • 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