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Developing Machine Translation Engines for Multilingual Participatory Spaces

2022-06-01EAMT 2022Unverified0· sign in to hype

Pintu Lohar, Guodong Xie, Andy Way

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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).

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