Although parallel corpora are vital for cross-linguistic and natural language processing (NLP) research, most have been designed for just one particular purpose, which may unnecessarily restrict their usefulness and usability. My argument is that the usefulness of existing parallel corpora increases exponentially when data so obtained are combined with those yielded by comparable and/or monolingual corpora. Usability criteria such as the choice of processing tools and adherence to international standards, among others, also have an impact on corpus usefulness. This chapter proposes courses of action that serve to improve the recycling and reprocessing of available resources. It also presents a corpus-based, post-editing and quality assessment application as an illustration of the multifarious uses parallel corpora may serve.