<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="giraud-gargett-2026-agenteak">
    <titleInfo>
        <title>Agenteak: A Multi-Agent Pipeline for Terminology-Constrained Spanish-Basque Translation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jurgi</namePart>
        <namePart type="family">Giraud</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Andrew</namePart>
        <namePart type="family">Gargett</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-10</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Eleventh 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">Budapest, Hungary</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-474-3</identifier>
    </relatedItem>
    <abstract>This paper describes the OpenU’s submission to the WMT26 Terminology Translation Task for Spanish into Basque (Track 1), covering the automotive and energy domains. We present AGENTEAK, a multi-agent system built on LangGraph in which three compact open-weight models (4-8B parameters) cooperate: a reasoning model that selects and disambiguates the terminology relevant to each segment, a domain fine-tuned translation model, and a verification model that checks and repairs terminology in the draft translation. To adapt the translator, we mined in-domain Spanish-Basque bitext from Wikipedia using multilingual sentence embeddings and complemented the data with in-domain synthetic parallel paragraphs generated by an instruction-tuned Basque LLM. Domain-tagged fine-tuning improves the base model by up to 10.4 BLEU and 3.9 COMET points on our in-domain test sets. On the shared task data, supplying the pipeline with correct terminology raises terminology success rate from 0.613 to 0.757 (automotive) and from 0.601 to 0.774 (energy).</abstract>
    <identifier type="citekey">giraud-gargett-2026-agenteak</identifier>
    <location>
        <url>https://aclanthology.org/2026.wmt-main.114/</url>
    </location>
    <part>
        <date>2026-10</date>
        <extent unit="page">
            <start>1791</start>
            <end>1800</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Agenteak: A Multi-Agent Pipeline for Terminology-Constrained Spanish-Basque Translation
%A Giraud, Jurgi
%A Gargett, Andrew
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Eleventh Conference on Machine Translation
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-474-3
%F giraud-gargett-2026-agenteak
%X This paper describes the OpenU’s submission to the WMT26 Terminology Translation Task for Spanish into Basque (Track 1), covering the automotive and energy domains. We present AGENTEAK, a multi-agent system built on LangGraph in which three compact open-weight models (4-8B parameters) cooperate: a reasoning model that selects and disambiguates the terminology relevant to each segment, a domain fine-tuned translation model, and a verification model that checks and repairs terminology in the draft translation. To adapt the translator, we mined in-domain Spanish-Basque bitext from Wikipedia using multilingual sentence embeddings and complemented the data with in-domain synthetic parallel paragraphs generated by an instruction-tuned Basque LLM. Domain-tagged fine-tuning improves the base model by up to 10.4 BLEU and 3.9 COMET points on our in-domain test sets. On the shared task data, supplying the pipeline with correct terminology raises terminology success rate from 0.613 to 0.757 (automotive) and from 0.601 to 0.774 (energy).
%U https://aclanthology.org/2026.wmt-main.114/
%P 1791-1800

Markdown (Informal)

[Agenteak: A Multi-Agent Pipeline for Terminology-Constrained Spanish-Basque Translation](https://aclanthology.org/2026.wmt-main.114/) (Giraud & Gargett, WMT 2026)

• Agenteak: A Multi-Agent Pipeline for Terminology-Constrained Spanish-Basque Translation (Giraud & Gargett, WMT 2026)

ACL

• Jurgi Giraud and Andrew Gargett. 2026. Agenteak: A Multi-Agent Pipeline for Terminology-Constrained Spanish-Basque Translation. In Proceedings of the Eleventh Conference on Machine Translation, pages 1791–1800, Budapest, Hungary. Association for Computational Linguistics.