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This research explores the effects of various training settings from Polishto English Statistical Machine Translation system for spoken language. Variouselements of the TED parallel text corpora for the IWSLT 2013 evaluationcampaign were used as the basis for training of language models, and fordevelopment, tuning and testing of the translation system. The BLEU, NIST,METEOR and TER metrics were used to evaluate the effects of data preparationson translation results. Our experiments included systems, which use stems andmorphological information on Polish words. We also conducted a deep analysis ofprovided Polish data as preparatory work for the automatic data correction andcleaning phase.

Polish - English Speech Statistical Machine Translation Systems for the IWSLT 2013