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    <titleInfo>
        <title>Practical Statistics for Research in Machine Translation and Translation Studies</title>
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    <name type="personal">
        <namePart type="given">Antonio</namePart>
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        <dateIssued>2019-aug</dateIssued>
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        <titleInfo>
            <title>Proceedings of Machine Translation Summit XVII: Tutorial Abstracts</title>
        </titleInfo>
        <originInfo>
            <publisher>European Association for Machine Translation</publisher>
            <place>
                <placeTerm type="text">Dublin, Ireland</placeTerm>
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        <genre authority="marcgt">conference publication</genre>
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    <abstract>The tutorial will introduce a set of very useful statistical tests for conducting analyses in the research areas of Machine Translation (MT) and Translation Studies (TS). For each statistical test, the presenter will: 1) introduce it in the context of a common research example that pertains to the area of MT and/or TS 2) explain the technique behind the test and its assumptions 3) cover common pitfalls when the test is applied in research studies, and 4) conduct a hands-on activity so that attendees can put the knowledge acquired in practice straight-away. All examples and exercises will be in R. The following statistical tests will be covered: t-tests (both parametric and non-parametric), bootstrap resampling, Pearson and Spearman correlation coefficients, linear mixed-effects models.</abstract>
    <identifier type="citekey">toral-2019-practical</identifier>
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        <url>https://aclanthology.org/W19-7604</url>
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%0 Conference Proceedings
%T Practical Statistics for Research in Machine Translation and Translation Studies
%A Toral, Antonio
%S Proceedings of Machine Translation Summit XVII: Tutorial Abstracts
%D 2019
%8 aug
%I European Association for Machine Translation
%C Dublin, Ireland
%F toral-2019-practical
%X The tutorial will introduce a set of very useful statistical tests for conducting analyses in the research areas of Machine Translation (MT) and Translation Studies (TS). For each statistical test, the presenter will: 1) introduce it in the context of a common research example that pertains to the area of MT and/or TS 2) explain the technique behind the test and its assumptions 3) cover common pitfalls when the test is applied in research studies, and 4) conduct a hands-on activity so that attendees can put the knowledge acquired in practice straight-away. All examples and exercises will be in R. The following statistical tests will be covered: t-tests (both parametric and non-parametric), bootstrap resampling, Pearson and Spearman correlation coefficients, linear mixed-effects models.
%U https://aclanthology.org/W19-7604

Markdown (Informal)

[Practical Statistics for Research in Machine Translation and Translation Studies](https://aclanthology.org/W19-7604) (Toral, 2019)

• Practical Statistics for Research in Machine Translation and Translation Studies (Toral, 2019)

ACL

• Antonio Toral. 2019. Practical Statistics for Research in Machine Translation and Translation Studies. In Proceedings of Machine Translation Summit XVII: Tutorial Abstracts, Dublin, Ireland. European Association for Machine Translation.