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We describe our submission to the IT-domain translation task of WMT 2016. We perform domain adaptation with dictionary data on already trained MT systems with no further retraining. We apply our approach to two conceptually different systems developed within the QTLeap project: TectoMT and Moses, as well as Chimera, their combination. In all settings , our(More)
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(More)
We present a pilot study in web-based annotation of words with senses coming from several knowledge bases and sense inventories. The study is the first step in a planned larger annotation of " grounding " and should allow us to select a subset of these " dictionaries " that seem to cover any given text reasonably well and show an acceptable level of(More)
​. Chimera is a machine translation system that combines the TectoMT deep­linguistic core with phrase­based MT system Moses. For English​ –​ Czech pair it also uses the Depfix post­correction system. All the components run on Unix/Linux platform and are open source (available from Perl repository CPAN and the LINDAT/CLARIN repository). The main website is ​(More)
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