<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ostergaard-etal-2026-corpus">
    <titleInfo>
        <title>A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch Texts</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Sara</namePart>
        <namePart type="given">Møller</namePart>
        <namePart type="family">Østergaard</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Lenneke</namePart>
        <namePart type="given">Doris</namePart>
        <namePart type="family">Lichtenberg</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Laura</namePart>
        <namePart type="family">Boon</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Bruno</namePart>
        <namePart type="family">Nicenboim</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-05</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fifteenth Language Resources and Evaluation Conference</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Stelios</namePart>
            <namePart type="family">Piperidis</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Núria</namePart>
            <namePart type="family">Bel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Henk</namePart>
            <namePart type="family">van den Heuvel</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Nancy</namePart>
            <namePart type="family">Ide</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Simon</namePart>
            <namePart type="family">Krek</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Antonio</namePart>
            <namePart type="family">Toral</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ELRA Language Resource Association</publisher>
            <place>
                <placeTerm type="text">Palma de Mallorca, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We present the Tilburg corpus of Natural Dutch Texts (TiNT): A corpus of joint electroencephalography (EEG) and self-paced reading (SPR) of natural, medium-length, Dutch texts. The corpus contains recordings from 71 native Dutch speakers reading eight naturally occurring texts of around 600 words each. The texts are of varying genres and were chosen based on overall fluency and comprehensibility. To assess the quality of the corpus, we examined participant responses to comprehension questions, self-reported familiarity with the texts, and whether well-established effects replicated for both reading times and event-related potentials (ERPs) (N400 and P600). The corpus contributes to a small collection of corpora with simultaneous recording of reading times and EEG. While this is often achieved using eye-tracking, the use of SPR offers methodological advantages, particularly in aligning neural signals with word-level processing. In addition, the use of natural texts with longer dependencies makes the corpus a unique resource for psycholinguistic research. The corpus enables research into the relationship between neural and behavioral responses in naturalistic reading contexts.</abstract>
    <identifier type="citekey">ostergaard-etal-2026-corpus</identifier>
    <identifier type="doi">10.63317/49tvxys2q4zc</identifier>
    <location>
        <url>https://aclanthology.org/2026.lrec-1.880/</url>
    </location>
    <part>
        <date>2026-05</date>
        <extent unit="page">
            <start>11260</start>
            <end>11271</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch Texts
%A Østergaard, Sara Møller
%A Lichtenberg, Lenneke Doris
%A Boon, Laura
%A Nicenboim, Bruno
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F ostergaard-etal-2026-corpus
%X We present the Tilburg corpus of Natural Dutch Texts (TiNT): A corpus of joint electroencephalography (EEG) and self-paced reading (SPR) of natural, medium-length, Dutch texts. The corpus contains recordings from 71 native Dutch speakers reading eight naturally occurring texts of around 600 words each. The texts are of varying genres and were chosen based on overall fluency and comprehensibility. To assess the quality of the corpus, we examined participant responses to comprehension questions, self-reported familiarity with the texts, and whether well-established effects replicated for both reading times and event-related potentials (ERPs) (N400 and P600). The corpus contributes to a small collection of corpora with simultaneous recording of reading times and EEG. While this is often achieved using eye-tracking, the use of SPR offers methodological advantages, particularly in aligning neural signals with word-level processing. In addition, the use of natural texts with longer dependencies makes the corpus a unique resource for psycholinguistic research. The corpus enables research into the relationship between neural and behavioral responses in naturalistic reading contexts.
%R 10.63317/49tvxys2q4zc
%U https://aclanthology.org/2026.lrec-1.880/
%U https://doi.org/10.63317/49tvxys2q4zc
%P 11260-11271

Markdown (Informal)

[A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch Texts](https://aclanthology.org/2026.lrec-1.880/) (Østergaard et al., LREC 2026)

• A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch Texts (Østergaard et al., LREC 2026)

ACL

• Sara Møller Østergaard, Lenneke Doris Lichtenberg, Laura Boon, and Bruno Nicenboim. 2026. A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch Texts. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 11260–11271, Palma de Mallorca, Spain. ELRA Language Resource Association.