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Translating Questions for Cross-Lingual QA

In this paper we investigate possibilities of the development of a task-specific translation component for cross-language question answering. We focus on the optimization of phrase-based SMT for models trained on very limited data resources. We also look at the combination of such systems with another approach based on example-based MT with proportional analogies. In our experiments we could improve a strong baseline of a general purpose MT engine with more than 5 BLEU points.