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Witold Kieraś

Biographic Data

ID4972080
NAMEWitold Kieraś
GIVEN NAMESWitold
FAMILY NAMEKieraś
SIGNATUREKIERAŚ W
AFFILIATIONSInstitute of Computer Science
ORCID0000-0002-8062-5881
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Korpus Współczesnego Języka Polskiego. Dekada 2011–2020

    Open Access•Witold Kieraś, Małgorzata Marciniak et al.•ARTICLE•Język Polski•2024

    The goal of this article is to provide readers with a concise overview of the Corpus of Contemporary Polish 2011–2020. We start by presenting the characteristics of acquired texts, detailing their sources and the structure of the balanced corpus. We then proceed to describe the layers of linguistic annotation, which include: segmentation, lemmatization, morphosyntactic tagging, named entities, and syntactic parsing (represented by trees that illu…

  • Korpusomat – stan obecny i przyszłość projektu

    Open Access•Witold Kieraś, Łukasz Kobyliński•ARTICLE•Język Polski•2021

    The article presents the Korpusomat web application for creating user’s own annotated linguistic corpora. The application offers an automatic annotation of texts and the ability to search it based on the annotation of inflectional and syntactic features of words and named entities. All annotation layers are presented along with examples of their application in linguistic analysis. The Korpusomat also offers statistical summaries of the collected …

  • Narodowy Korpus Diachroniczny Polszczyzny. Projekt

    Open Access•Magdalena Król, Magdalena Derwojedowa et al.•ARTICLE•Język Polski•2019

    The paper presents the project of the Diachronic Corpus of Polish (DCP), which is intended as a cohesive collection of smaller corpora, arising in various scientific centers and covering various time ranges. This corpus will include texts covering the years 1380-1939 and will complement the National Corpus of Polish. The aim of the project is creating a balanced corpus presenting the history of the development of the Polish language and constitut…

No prominent works on this page.

  • Narodowy Korpus Diachroniczny Polszczyzny. Projekt

    Open Access•Magdalena Król, Magdalena Derwojedowa et al.•ARTICLE•Język Polski•2019

    The paper presents the project of the Diachronic Corpus of Polish (DCP), which is intended as a cohesive collection of smaller corpora, arising in various scientific centers and covering various time ranges. This corpus will include texts covering the years 1380-1939 and will complement the National Corpus of Polish. The aim of the project is creating a balanced corpus presenting the history of the development of the Polish language and constitut…

  • Korpusomat – stan obecny i przyszłość projektu

    Open Access•Witold Kieraś, Łukasz Kobyliński•ARTICLE•Język Polski•2021

    The article presents the Korpusomat web application for creating user’s own annotated linguistic corpora. The application offers an automatic annotation of texts and the ability to search it based on the annotation of inflectional and syntactic features of words and named entities. All annotation layers are presented along with examples of their application in linguistic analysis. The Korpusomat also offers statistical summaries of the collected …

  • Korpus Współczesnego Języka Polskiego. Dekada 2011–2020

    Open Access•Witold Kieraś, Małgorzata Marciniak et al.•ARTICLE•Język Polski•2024

    The goal of this article is to provide readers with a concise overview of the Corpus of Contemporary Polish 2011–2020. We start by presenting the characteristics of acquired texts, detailing their sources and the structure of the balanced corpus. We then proceed to describe the layers of linguistic annotation, which include: segmentation, lemmatization, morphosyntactic tagging, named entities, and syntactic parsing (represented by trees that illu…

Language and Culture (3 works) · Computer Science (2 works) · Literature, Language, and Rhetoric Studies (2 works) · Annotation (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Information retrieval (1 work) · Linguistics, Language Diversity, and Identity (1 work) · Natural language processing (1 work) · Natural Language Processing Techniques (1 work)

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