<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="rosa-marecek-2018-cuni">
    <titleInfo>
        <title>CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Rudolf</namePart>
        <namePart type="family">Rosa</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">David</namePart>
        <namePart type="family">Mareček</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-oct</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies</title>
        </titleInfo>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Brussels, Belgium</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This is a system description paper for the CUNI x-ling submission to the CoNLL 2018 UD Shared Task. We focused on parsing under-resourced languages, with no or little training data available. We employed a wide range of approaches, including simple word-based treebank translation, combination of delexicalized parsers, and exploitation of available morphological dictionaries, with a dedicated setup tailored to each of the languages. In the official evaluation, our submission was identified as the clear winner of the Low-resource languages category.</abstract>
    <identifier type="citekey">rosa-marecek-2018-cuni</identifier>
    <identifier type="doi">10.18653/v1/K18-2019</identifier>
    <location>
        <url>https://aclanthology.org/K18-2019</url>
    </location>
    <part>
        <date>2018-oct</date>
        <extent unit="page">
            <start>187</start>
            <end>196</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task
%A Rosa, Rudolf
%A Mareček, David
%S Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
%D 2018
%8 oct
%I Association for Computational Linguistics
%C Brussels, Belgium
%F rosa-marecek-2018-cuni
%X This is a system description paper for the CUNI x-ling submission to the CoNLL 2018 UD Shared Task. We focused on parsing under-resourced languages, with no or little training data available. We employed a wide range of approaches, including simple word-based treebank translation, combination of delexicalized parsers, and exploitation of available morphological dictionaries, with a dedicated setup tailored to each of the languages. In the official evaluation, our submission was identified as the clear winner of the Low-resource languages category.
%R 10.18653/v1/K18-2019
%U https://aclanthology.org/K18-2019
%U https://doi.org/10.18653/v1/K18-2019
%P 187-196

Markdown (Informal)

[CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task](https://aclanthology.org/K18-2019) (Rosa & Mareček, CoNLL 2018)

• CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task (Rosa & Mareček, CoNLL 2018)

ACL

• Rudolf Rosa and David Mareček. 2018. CUNI x-ling: Parsing Under-Resourced Languages in CoNLL 2018 UD Shared Task. In Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, pages 187–196, Brussels, Belgium. Association for Computational Linguistics.