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The ACL Workshop on Statistical Machine Translation proposed a translation shared task focused on European language pairs. Participants used their systems to translate into the target language a test set of unseen sentences in the source language. Involved languages were French, English, Spanish, German, Czech and Hungarian. The goal of this work is to quantitatively compare the translations generated by different systems. In particular, a selection of submitted runs for the French-English, German-English and SpanishEnglish tasks were analyzed. The systems involved in our investigation cover all the main approaches to machine translation, that is rule-based, statistical, example-based and hybrid. General Terms Machine Learning, Machine Translation.

Translation Shared Task on Statistical Machine Translation: A Comparison of the Systems Output