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    <titleInfo>
        <title>Comparing Machine Translation and Human Translation: A Case Study</title>
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    <name type="personal">
        <namePart type="given">Lars</namePart>
        <namePart type="family">Ahrenberg</namePart>
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            <title>Proceedings of the Workshop Human-Informed Translation and Interpreting Technology</title>
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        <name type="personal">
            <namePart type="given">Irina</namePart>
            <namePart type="family">Temnikova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Constantin</namePart>
            <namePart type="family">Orasan</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Gloria</namePart>
            <namePart type="given">Corpas</namePart>
            <namePart type="family">Pastor</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Stephan</namePart>
            <namePart type="family">Vogel</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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    <abstract>As machine translation technology improves comparisons to human performance are often made in quite general and exaggerated terms. Thus, it is important to be able to account for differences accurately. This paper reports a simple, descriptive scheme for comparing translations and applies it to two translations of a British opinion article published in March, 2017. One is a human translation (HT) into Swedish, and the other a machine translation (MT). While the comparison is limited to one text, the results are indicative of current limitations in MT.</abstract>
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    <identifier type="doi">10.26615/978-954-452-042-7_003</identifier>
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%0 Conference Proceedings
%T Comparing Machine Translation and Human Translation: A Case Study
%A Ahrenberg, Lars
%Y Temnikova, Irina
%Y Orasan, Constantin
%Y Pastor, Gloria Corpas
%Y Vogel, Stephan
%S Proceedings of the Workshop Human-Informed Translation and Interpreting Technology
%D 2017
%8 September
%I Association for Computational Linguistics, Shoumen, Bulgaria
%C Varna, Bulgaria
%F ahrenberg-2017-comparing
%X As machine translation technology improves comparisons to human performance are often made in quite general and exaggerated terms. Thus, it is important to be able to account for differences accurately. This paper reports a simple, descriptive scheme for comparing translations and applies it to two translations of a British opinion article published in March, 2017. One is a human translation (HT) into Swedish, and the other a machine translation (MT). While the comparison is limited to one text, the results are indicative of current limitations in MT.
%R 10.26615/978-954-452-042-7_003
%U https://doi.org/10.26615/978-954-452-042-7_003
%P 21-28

Markdown (Informal)

[Comparing Machine Translation and Human Translation: A Case Study](https://doi.org/10.26615/978-954-452-042-7_003) (Ahrenberg, RANLP 2017)

• Comparing Machine Translation and Human Translation: A Case Study (Ahrenberg, RANLP 2017)

ACL

• Lars Ahrenberg. 2017. Comparing Machine Translation and Human Translation: A Case Study. In Proceedings of the Workshop Human-Informed Translation and Interpreting Technology, pages 21–28, Varna, Bulgaria. Association for Computational Linguistics, Shoumen, Bulgaria.