Bootstrapping a Hybrid MT System to a New Language Pair
João António Rodrigues, Nuno Rendeiro, Andreia Querido, Sanja Štajner, António Branco · 2016
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.