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• 121 Downloads • Abstract This paper reports on a series of experiments which aim at integratingExample-based Machine Translation and Translation Memories with Rule-based Machine Translation. We start by examining the potentials of each MT paradigm in terms of system-internal and system-external parameters. Whereas the system-external parameters include the expected translation quality and translation coverage, system-internal parameters relate to adaptability and recall of translation units.

I eto neoproverzhimie fakti. Pisjmo ministru obrazovaniya rk obrazec. I otec Gazar nashemu vozlyublennomu, vinuzhdeni tak skazat, odnako priznavaya, chto takoe chado ne mozhet bit vozlyublennim, potomu chto v xristianstve takix chad nazivayut kozlik (prim. I posle obsuzhdeniya, nash drugoy svyashchennik, muzhestvenniy, besstrashniy i voin Xrista napisal odno strogoe pismo gospodinu ministru, napominaya emu, chto to, chto segodnya imeet armyanskiy narod, ya ne xochu vdavatsya v podrobnosti, nachinaya ot pismennosti, vse nam dala Armyanskaya Cerkov. «Ya nadeyus, chto vse vi v kurse, potomu chto vse vi aktivnie v socialnix setyax. Slovo o tex sobitiyax, kotorie imeli mesto bit v Armenii, mezhdu ministrom obrazovaniya Araikom Arutyunyanom i odnim iz nashix svyashchennikov.

We prefer a dynamic linkage of different MT paradigms where the sharing of labor amongst the modules involved, such as segmentation andsegment translation, is decided dynamically during runtime. We motivatethe communication of linguistically rich data structures between thedifferent components in a hybrid system and show that this linkage leadsto better translation results and improves the customization possibilitiesof the system.