<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="platek-etal-2023-little">
    <titleInfo>
        <title>With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Ondrej</namePart>
        <namePart type="family">Platek</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Mateusz</namePart>
        <namePart type="family">Lango</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ondrej</namePart>
        <namePart type="family">Dusek</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2023-09</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Anya</namePart>
            <namePart type="family">Belz</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Maja</namePart>
            <namePart type="family">Popović</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ehud</namePart>
            <namePart type="family">Reiter</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Craig</namePart>
            <namePart type="family">Thomson</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">João</namePart>
            <namePart type="family">Sedoc</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>INCOMA Ltd., Shoumen, Bulgaria</publisher>
            <place>
                <placeTerm type="text">Varna, Bulgaria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This work presents our efforts to reproduce the results of the human evaluation experiment presented in the paper of Vamvas and Sennrich (2022), which evaluated an automatic system detecting over- and undertranslations (translations containing more or less information than the original) in machine translation (MT) outputs. Despite the high quality of the documentation and code provided by the authors, we discuss some problems we found in reproducing the exact experimental setup and offer recommendations for improving reproducibility. Our replicated results generally confirm the conclusions of the original study, but in some cases statistically significant differences were observed, suggesting a high variability of human annotation.</abstract>
    <identifier type="citekey">platek-etal-2023-little</identifier>
    <location>
        <url>https://aclanthology.org/2023.humeval-1.13</url>
    </location>
    <part>
        <date>2023-09</date>
        <extent unit="page">
            <start>145</start>
            <end>152</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector
%A Platek, Ondrej
%A Lango, Mateusz
%A Dusek, Ondrej
%Y Belz, Anya
%Y Popović, Maja
%Y Reiter, Ehud
%Y Thomson, Craig
%Y Sedoc, João
%S Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F platek-etal-2023-little
%X This work presents our efforts to reproduce the results of the human evaluation experiment presented in the paper of Vamvas and Sennrich (2022), which evaluated an automatic system detecting over- and undertranslations (translations containing more or less information than the original) in machine translation (MT) outputs. Despite the high quality of the documentation and code provided by the authors, we discuss some problems we found in reproducing the exact experimental setup and offer recommendations for improving reproducibility. Our replicated results generally confirm the conclusions of the original study, but in some cases statistically significant differences were observed, suggesting a high variability of human annotation.
%U https://aclanthology.org/2023.humeval-1.13
%P 145-152

Markdown (Informal)

[With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector](https://aclanthology.org/2023.humeval-1.13) (Platek et al., HumEval-WS 2023)

• With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector (Platek et al., HumEval-WS 2023)

ACL

• Ondrej Platek, Mateusz Lango, and Ondrej Dusek. 2023. With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector. In Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems, pages 145–152, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.