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This position paper presents the recently started European collaboration project LetsMT!. This project creates a platform that gathers public and user-provided MT training data and generates multiple MT systems by combining and prioritizing this data. The project extends the use of existing state-of-the-art SMT methods that are applied to data supplied by users to increase quality, scope and language coverage of machine translation. The paper describes the background and motivation for this work, key approaches, and the technologies used.
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