<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="courtin-yan-2019-learn">
    <titleInfo>
        <title>What can we learn from natural and artificial dependency trees</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Marine</namePart>
        <namePart type="family">Courtin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Chunxiao</namePart>
        <namePart type="family">Yan</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Xinying</namePart>
            <namePart type="family">Chen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ramon</namePart>
            <namePart type="family">Ferrer-i-Cancho</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Paris, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <identifier type="citekey">courtin-yan-2019-learn</identifier>
    <identifier type="doi">10.18653/v1/W19-7915</identifier>
    <location>
        <url>https://aclanthology.org/W19-7915</url>
    </location>
    <part>
        <date>2019-08</date>
        <extent unit="page">
            <start>125</start>
            <end>135</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T What can we learn from natural and artificial dependency trees
%A Courtin, Marine
%A Yan, Chunxiao
%Y Chen, Xinying
%Y Ferrer-i-Cancho, Ramon
%S Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)
%D 2019
%8 August
%I Association for Computational Linguistics
%C Paris, France
%F courtin-yan-2019-learn
%R 10.18653/v1/W19-7915
%U https://aclanthology.org/W19-7915
%U https://doi.org/10.18653/v1/W19-7915
%P 125-135

Markdown (Informal)

[What can we learn from natural and artificial dependency trees](https://aclanthology.org/W19-7915) (Courtin & Yan, Quasy-SyntaxFest 2019)

• What can we learn from natural and artificial dependency trees (Courtin & Yan, Quasy-SyntaxFest 2019)

ACL

• Marine Courtin and Chunxiao Yan. 2019. What can we learn from natural and artificial dependency trees. In Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019), pages 125–135, Paris, France. Association for Computational Linguistics.