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The Persian Dependency Treebank Made Universal

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ABAZ5B9L4" target="_blank" >RIV/00216208:11320/22:BAZ5B9L4 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2022.lrec-1.766" target="_blank" >https://aclanthology.org/2022.lrec-1.766</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Persian Dependency Treebank Made Universal

  • Original language description

    We describe an automatic method for converting the Persian Dependency Treebank (Rasooli et al., 2013) to Universal Dependencies. This treebank contains 29107 sentences. Our experiments along with manual linguistic analysis show that our data is more compatible with Universal Dependencies than the Uppsala Persian Universal Dependency Treebank (Seraji et al., 2016), larger in size and more diverse in vocabulary. Our data brings in labeled attachment F-score of 85.2 in supervised parsing. Also, our delexicalized Persian-to-English parser transfer experiments show that a parsing model trained on our data is mbox$approx$2% absolutely more accurate than that of Seraji et al. (2016) in terms of labeled attachment score.

  • 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

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the Thirteenth Language Resources and Evaluation Conference

  • ISBN

    979-10-95546-72-6

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    7078-7087

  • Publisher name

    European Language Resources Association

  • Place of publication

  • Event location

    Marseille, France

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article