CUNI-LMU Submissions in WMT2016: Chimera Constrained and Beaten
نویسندگان
چکیده
This paper describes the phrase-based systems jointly submitted by CUNI and LMU to English-Czech and English-Romanian News translation tasks of WMT16. In contrast to previous years, we strictly limited our training data to the constraint datasets, to allow for a reliable comparison with other research systems. We experiment with using several additional models in our system, including a feature-rich discriminative model of phrasal translation.
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