Bootstrapping a Hybrid MT System to a New Language Pair
Jo{\~a}o Ant{\'o}nio Rodrigues, Nuno Rendeiro, Andreia Querido, Sanja {\v{S}}tajner, Ant{\'o}nio Branco
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The usual concern when opting for a rule-based or a hybrid machine translation (MT) system is how much effort is required to adapt the system to a different language pair or a new domain. In this paper, we describe a way of adapting an existing hybrid MT system to a new language pair, and show that such a system can outperform a standard phrase-based statistical machine translation system with an average of 10 persons/month of work. This is specifically important in the case of domain-specific MT for which there is not enough parallel data for training a statistical machine translation system.