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Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372179" target="_blank" >RIV/00216208:11320/17:10372179 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.aclweb.org/anthology/K/K17/K17-3009.pdf" target="_blank" >http://www.aclweb.org/anthology/K/K17/K17-3009.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe

  • Original language description

    We present an update to UDPipe 1.0, a trainable pipeline which performs sentence segmentation, tokenization, POS tagging, lemmatization and dependency parsing. We provide models for all 50 languages of UD 2.0, and furthermore, the pipeline can be trained easily using data in CoNLL-U format. For the purpose of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, the updated UDPipe 1.1 was used as one of the baseline systems, finishing as the 13th system of 33 participants. A further improved UDPipe 1.2 participated in the shared task, placing as the 8th best system, while achieving low running times and moderately sized models. The tool is available under open-source Mozilla Public Licence (MPL) and provides bindings for C++, Python (through ufal.udpipe PyPI package), Perl (through UFAL::UDPipe CPAN package), Java and C#.

  • 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

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • 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 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

  • ISBN

    978-1-945626-70-8

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    12

  • Pages from-to

    88-99

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Vancouver, Canada

  • Event date

    Aug 3, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article