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            <title>Proceedings of the 23rd Annual Conference of the European Association for Machine Translation</title>
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    <abstract>It is often a challenging task to build Machine Translation (MT) engines for a specific domain due to the lack of parallel data in that area. In this project, we develop a range of MT systems for 6 European languages (English, German, Italian, French, Polish and Irish) in all directions and in two domains (environment and economics).</abstract>
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%0 Conference Proceedings
%T Developing Machine Translation Engines for Multilingual Participatory Spaces
%A Lohar, Pintu
%A Xie, Guodong
%A Way, Andy
%S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
%D 2022
%8 June
%I European Association for Machine Translation
%C Ghent, Belgium
%F lohar-etal-2022-developing
%X It is often a challenging task to build Machine Translation (MT) engines for a specific domain due to the lack of parallel data in that area. In this project, we develop a range of MT systems for 6 European languages (English, German, Italian, French, Polish and Irish) in all directions and in two domains (environment and economics).
%U https://aclanthology.org/2022.eamt-1.69
%P 359-360

Markdown (Informal)

[Developing Machine Translation Engines for Multilingual Participatory Spaces](https://aclanthology.org/2022.eamt-1.69) (Lohar et al., EAMT 2022)

• Developing Machine Translation Engines for Multilingual Participatory Spaces (Lohar et al., EAMT 2022)

ACL

• Pintu Lohar, Guodong Xie, and Andy Way. 2022. Developing Machine Translation Engines for Multilingual Participatory Spaces. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 359–360, Ghent, Belgium. European Association for Machine Translation.