<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="laippala-etal-2019-toward">
    <titleInfo>
        <title>Toward Multilingual Identification of Online Registers</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Veronika</namePart>
        <namePart type="family">Laippala</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Roosa</namePart>
        <namePart type="family">Kyllönen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jesse</namePart>
        <namePart type="family">Egbert</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Douglas</namePart>
        <namePart type="family">Biber</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Sampo</namePart>
        <namePart type="family">Pyysalo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2019-sep–oct</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 22nd Nordic Conference on Computational Linguistics</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Mareike</namePart>
            <namePart type="family">Hartmann</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Barbara</namePart>
            <namePart type="family">Plank</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Linköping University Electronic Press</publisher>
            <place>
                <placeTerm type="text">Turku, Finland</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We consider cross- and multilingual text classification approaches to the identification of online registers (genres), i.e. text varieties with specific situational characteristics. Register is the most important predictor of linguistic variation, and register information could improve the potential of online data for many applications. We introduce the first manually annotated non-English corpus of online registers featuring the full range of linguistic variation found online. The data set consists of 2,237 Finnish documents and follows the register taxonomy developed for the Corpus of Online Registers of English (CORE). Using CORE and the newly introduced corpus, we demonstrate the feasibility of cross-lingual register identification using a simple approach based on convolutional neural networks and multilingual word embeddings. We further find that register identification results can be improved through multilingual training even when a substantial number of annotations is available in the target language.</abstract>
    <identifier type="citekey">laippala-etal-2019-toward</identifier>
    <location>
        <url>https://aclanthology.org/W19-6130</url>
    </location>
    <part>
        <date>2019-sep–oct</date>
        <extent unit="page">
            <start>292</start>
            <end>297</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Toward Multilingual Identification of Online Registers
%A Laippala, Veronika
%A Kyllönen, Roosa
%A Egbert, Jesse
%A Biber, Douglas
%A Pyysalo, Sampo
%Y Hartmann, Mareike
%Y Plank, Barbara
%S Proceedings of the 22nd Nordic Conference on Computational Linguistics
%D 2019
%8 sep–oct
%I Linköping University Electronic Press
%C Turku, Finland
%F laippala-etal-2019-toward
%X We consider cross- and multilingual text classification approaches to the identification of online registers (genres), i.e. text varieties with specific situational characteristics. Register is the most important predictor of linguistic variation, and register information could improve the potential of online data for many applications. We introduce the first manually annotated non-English corpus of online registers featuring the full range of linguistic variation found online. The data set consists of 2,237 Finnish documents and follows the register taxonomy developed for the Corpus of Online Registers of English (CORE). Using CORE and the newly introduced corpus, we demonstrate the feasibility of cross-lingual register identification using a simple approach based on convolutional neural networks and multilingual word embeddings. We further find that register identification results can be improved through multilingual training even when a substantial number of annotations is available in the target language.
%U https://aclanthology.org/W19-6130
%P 292-297

Markdown (Informal)

[Toward Multilingual Identification of Online Registers](https://aclanthology.org/W19-6130) (Laippala et al., NoDaLiDa 2019)

• Toward Multilingual Identification of Online Registers (Laippala et al., NoDaLiDa 2019)

ACL

• Veronika Laippala, Roosa Kyllönen, Jesse Egbert, Douglas Biber, and Sampo Pyysalo. 2019. Toward Multilingual Identification of Online Registers. In Proceedings of the 22nd Nordic Conference on Computational Linguistics, pages 292–297, Turku, Finland. Linköping University Electronic Press.