This proposal aims at using machine learning techniques to develop a ‘translatability prediction system’ for English-Dutch that automatically assigns a global difficulty score to a given source text and identifies the passages in the source text that are difficult to translate. The correlation between indicators of difficulty observable in the translation product and translation process data will be investigated.