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Sinhala Dependency Treebank (STB)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AQ8YBLG7N" target="_blank" >RIV/00216208:11320/23:Q8YBLG7N - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172336538&partnerID=40&md5=96c4b588484e675f41c868d691a1b7c2" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172336538&partnerID=40&md5=96c4b588484e675f41c868d691a1b7c2</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sinhala Dependency Treebank (STB)

  • Original language description

    "This paper reports the development of the first dependency treebank for the Sinhala language (STB). Sinhala, which is morphologically rich, is a low-resource language with few linguistic and computational resources available publicly. This treebank consists of 100 sentences taken from a large contemporary written text corpus. These sentences were annotated manually according to the Universal Dependencies framework. In this paper, apart from elaborating on the approach that has been followed to create the treebank, we have also discussed some interesting syntactic constructions found in the corpus and how we have handled them using the current Universal Dependencies specification. © 2023 Association for Computational Linguistics"

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    "UDW - Workshop Univers. Depend. (UDW, GURT/SyntaxFest 2023), Proc. Conf."

  • ISBN

    978-195942934-0

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    17-26

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

  • Event location

    Dubrovnik

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article