Developing Machine Translation Engines for Multilingual Participatory Spaces

EAMT 2022  ·  Pintu Lohar, Guodong Xie, Andy Way ·

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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