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    <titleInfo>
        <title>Using CollGram to Compare Formulaic Language in Human and Machine Translation</title>
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    <name type="personal">
        <namePart type="given">Yves</namePart>
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            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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            <namePart type="given">Julie</namePart>
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    <abstract>A comparison of formulaic sequences in human and neural machine translation of quality newspaper articles shows that neural machine translations contain less lower-frequency, but strongly-associated formulaic sequences (FSs), and more high-frequency FSs. These observations can be related to the differences between second language learners of various levels and between translated and untranslated texts. The comparison between the neural machine translation systems indicates that some systems produce more FSs of both types than other systems.</abstract>
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%0 Conference Proceedings
%T Using CollGram to Compare Formulaic Language in Human and Machine Translation
%A Bestgen, Yves
%Y Mitkov, Ruslan
%Y Sosoni, Vilelmini
%Y Giguère, Julie Christine
%Y Murgolo, Elena
%Y Deysel, Elizabeth
%S Proceedings of the Translation and Interpreting Technology Online Conference
%D 2021
%8 July
%I INCOMA Ltd.
%C Held Online
%F bestgen-2021-using
%X A comparison of formulaic sequences in human and neural machine translation of quality newspaper articles shows that neural machine translations contain less lower-frequency, but strongly-associated formulaic sequences (FSs), and more high-frequency FSs. These observations can be related to the differences between second language learners of various levels and between translated and untranslated texts. The comparison between the neural machine translation systems indicates that some systems produce more FSs of both types than other systems.
%U https://aclanthology.org/2021.triton-1.20/
%P 174-180

Markdown (Informal)

[Using CollGram to Compare Formulaic Language in Human and Machine Translation](https://aclanthology.org/2021.triton-1.20/) (Bestgen, TRITON 2021)

• Using CollGram to Compare Formulaic Language in Human and Machine Translation (Bestgen, TRITON 2021)

ACL

• Yves Bestgen. 2021. Using CollGram to Compare Formulaic Language in Human and Machine Translation. In Proceedings of the Translation and Interpreting Technology Online Conference, pages 174–180, Held Online. INCOMA Ltd..