<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="briakou-etal-2024-translating">
    <titleInfo>
        <title>Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Eleftheria</namePart>
        <namePart type="family">Briakou</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Jiaming</namePart>
        <namePart type="family">Luo</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Colin</namePart>
        <namePart type="family">Cherry</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Markus</namePart>
        <namePart type="family">Freitag</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2024-11</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Ninth Conference on Machine Translation</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Barry</namePart>
            <namePart type="family">Haddow</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Tom</namePart>
            <namePart type="family">Kocmi</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Philipp</namePart>
            <namePart type="family">Koehn</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Christof</namePart>
            <namePart type="family">Monz</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Miami, Florida, USA</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper we present a step-by-step approach to long-form text translation, drawing on established processes in translation studies. Instead of viewing machine translation as a single, monolithic task, we propose a framework that engages language models in a multi-turn interaction, encompassing pre-translation research, drafting, refining, and proofreading, resulting in progressively improved translations.Extensive automatic evaluations using Gemini 1.5 Pro across ten language pairs show that translating step-by-step yields large translation quality improvements over conventional zero-shot prompting approaches and earlier human-like baseline strategies, resulting in state-of-the-art results on WMT 2024.</abstract>
    <identifier type="citekey">briakou-etal-2024-translating</identifier>
    <location>
        <url>https://aclanthology.org/2024.wmt-1.123</url>
    </location>
    <part>
        <date>2024-11</date>
        <extent unit="page">
            <start>1301</start>
            <end>1317</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
%A Briakou, Eleftheria
%A Luo, Jiaming
%A Cherry, Colin
%A Freitag, Markus
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Ninth Conference on Machine Translation
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F briakou-etal-2024-translating
%X In this paper we present a step-by-step approach to long-form text translation, drawing on established processes in translation studies. Instead of viewing machine translation as a single, monolithic task, we propose a framework that engages language models in a multi-turn interaction, encompassing pre-translation research, drafting, refining, and proofreading, resulting in progressively improved translations.Extensive automatic evaluations using Gemini 1.5 Pro across ten language pairs show that translating step-by-step yields large translation quality improvements over conventional zero-shot prompting approaches and earlier human-like baseline strategies, resulting in state-of-the-art results on WMT 2024.
%U https://aclanthology.org/2024.wmt-1.123
%P 1301-1317

Markdown (Informal)

[Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts](https://aclanthology.org/2024.wmt-1.123) (Briakou et al., WMT 2024)

• Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts (Briakou et al., WMT 2024)

ACL

• Eleftheria Briakou, Jiaming Luo, Colin Cherry, and Markus Freitag. 2024. Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts. In Proceedings of the Ninth Conference on Machine Translation, pages 1301–1317, Miami, Florida, USA. Association for Computational Linguistics.