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    <titleInfo>
        <title>Are ambiguous conjunctions problematic for machine translation?</title>
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    <name type="personal">
        <namePart type="given">Maja</namePart>
        <namePart type="family">Popović</namePart>
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            <title>Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)</title>
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            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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    <abstract>The translation of ambiguous words still poses challenges for machine translation. In this work, we carry out a systematic quantitative analysis regarding the ability of different machine translation systems to disambiguate the source language conjunctions “but” and “and”. We evaluate specialised test sets focused on the translation of these two conjunctions. The test sets contain source languages that do not distinguish different variants of the given conjunction, whereas the target languages do. In total, we evaluate the conjunction “but” on 20 translation outputs, and the conjunction “and” on 10. All machine translation systems almost perfectly recognise one variant of the target conjunction, especially for the source conjunction “but”. The other target variant, however, represents a challenge for machine translation systems, with accuracy varying from 50% to 95% for “but” and from 20% to 57% for “and”. The major error for all systems is replacing the correct target variant with the opposite one.</abstract>
    <identifier type="citekey">popovic-castilho-2019-ambiguous</identifier>
    <identifier type="doi">10.26615/978-954-452-056-4_111</identifier>
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        <url>https://aclanthology.org/R19-1111</url>
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        <date>2019-09</date>
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            <start>959</start>
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%0 Conference Proceedings
%T Are ambiguous conjunctions problematic for machine translation?
%A Popović, Maja
%A Castilho, Sheila
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
%D 2019
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F popovic-castilho-2019-ambiguous
%X The translation of ambiguous words still poses challenges for machine translation. In this work, we carry out a systematic quantitative analysis regarding the ability of different machine translation systems to disambiguate the source language conjunctions “but” and “and”. We evaluate specialised test sets focused on the translation of these two conjunctions. The test sets contain source languages that do not distinguish different variants of the given conjunction, whereas the target languages do. In total, we evaluate the conjunction “but” on 20 translation outputs, and the conjunction “and” on 10. All machine translation systems almost perfectly recognise one variant of the target conjunction, especially for the source conjunction “but”. The other target variant, however, represents a challenge for machine translation systems, with accuracy varying from 50% to 95% for “but” and from 20% to 57% for “and”. The major error for all systems is replacing the correct target variant with the opposite one.
%R 10.26615/978-954-452-056-4_111
%U https://aclanthology.org/R19-1111
%U https://doi.org/10.26615/978-954-452-056-4_111
%P 959-966

Markdown (Informal)

[Are ambiguous conjunctions problematic for machine translation?](https://aclanthology.org/R19-1111) (Popović & Castilho, RANLP 2019)

• Are ambiguous conjunctions problematic for machine translation? (Popović & Castilho, RANLP 2019)

ACL

• Maja Popović and Sheila Castilho. 2019. Are ambiguous conjunctions problematic for machine translation?. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 959–966, Varna, Bulgaria. INCOMA Ltd..