@inproceedings{L16-1438,
 abstract = {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.
},
 address = {Portorož, Slovenia},
 author = {João António Rodrigues and Nuno Rendeiro and Andreia Querido and Sanja Štajner and António Branco},
 booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
 month = {May},
 pages = {2762--2765},
 publisher = {European Language Resources Association (ELRA)},
 title = {Bootstrapping a Hybrid MT System to a New Language Pair},
 url = {https://www.aclweb.org/anthology/L16-1438},
 year = {2016}
}