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        <title>Adding soft terminology constraints to pre-trained generic MT models by means of continued training</title>
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            <title>Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation</title>
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            <namePart type="given">Arda</namePart>
            <namePart type="family">Tezcan</namePart>
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        <name type="personal">
            <namePart type="given">Víctor</namePart>
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        <name type="personal">
            <namePart type="given">Miquel</namePart>
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    <abstract>This article describes an efficient method of adding terminology support to existing machine translation models. The training of the pre-trained models is continued with parallel data where strings identified as terms in the source language data have been annotated with the lemmas of the corresponding target terms. Evaluation using standard test sets and methods confirms that continued training from generic base models can produce term models that are competitive with models specifically trained as term models.</abstract>
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%0 Conference Proceedings
%T Adding soft terminology constraints to pre-trained generic MT models by means of continued training
%A Nieminen, Tommi
%Y Tezcan, Arda
%Y Sánchez-Cartagena, Víctor M.
%Y Esplà-Gomis, Miquel
%S Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation
%D 2024
%8 June
%I European Association for Machine Translation (EAMT)
%C Sheffield, United Kingdom
%F nieminen-2024-adding
%X This article describes an efficient method of adding terminology support to existing machine translation models. The training of the pre-trained models is continued with parallel data where strings identified as terms in the source language data have been annotated with the lemmas of the corresponding target terms. Evaluation using standard test sets and methods confirms that continued training from generic base models can produce term models that are competitive with models specifically trained as term models.
%U https://aclanthology.org/2024.kemt-1.3
%P 21-33

Markdown (Informal)

[Adding soft terminology constraints to pre-trained generic MT models by means of continued training](https://aclanthology.org/2024.kemt-1.3) (Nieminen, KEMT-WS 2024)

• Adding soft terminology constraints to pre-trained generic MT models by means of continued training (Nieminen, KEMT-WS 2024)

ACL

• Tommi Nieminen. 2024. Adding soft terminology constraints to pre-trained generic MT models by means of continued training. In Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation, pages 21–33, Sheffield, United Kingdom. European Association for Machine Translation (EAMT).