We tackle the problem of domain adaptation of Statistical Machine Translation by exploiting domain-specific data acquired by domain-focused web-crawling. We design and evaluate a procedure for automatic acquisition of monolingual and parallel data and their exploitation for training, tuning, and testing in a phrase-based Statistical Machine Translation system. We present a strategy for using such resources depending on their availability and quantity supported by results of a large-scale

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... ion on the domains of Natural Environment and Labour Legislation and two language pairs: English-French, English--Greek. The average observed increase of BLEU is substantial at 49.5% relative.